索引

符号

--accept <accept> mlflow-sagemaker-deploy-transform-job 命令行选项 --allowed-hosts <allowed_hosts> mlflow-server 命令行选项 --app-name <app_name> mlflow-server 命令行选项 --archive mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-terminate-transform-job 命令行选项 --artifact-location <artifact_location> mlflow-experiments-create 命令行选项 --artifact-path <artifact_path> mlflow-artifacts-download 命令行选项 mlflow-artifacts-list 命令行选项 mlflow-artifacts-log-artifact 命令行选项 mlflow-artifacts-log-artifacts 命令行选项 --artifact-uri <artifact_uri> mlflow-artifacts-download 命令行选项 --artifacts-destination <URI> mlflow-gc 命令行选项 mlflow-server 命令行选项 --artifacts-only mlflow-server 命令行选项 --assemble-with <assemble_with> mlflow-sagemaker-deploy-transform-job 命令行选项 --assessment-id <assessment_id> mlflow-traces-delete-assessment 命令行选项 mlflow-traces-get-assessment 命令行选项 mlflow-traces-update-assessment 命令行选项 --async mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-terminate-transform-job 命令行选项 --backend <BACKEND> mlflow-run 命令行选项 --backend-config <FILE> mlflow-run 命令行选项 --backend-store-uri <backend_store_uri> mlflow-crypto-rotate-kek 命令行选项 --backend-store-uri <PATH> mlflow-gc 命令行选项 mlflow-server 命令行选项 --bucket <bucket> mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 --build mlflow-sagemaker-build-and-push-container 命令行选项 --build-image mlflow-run 命令行选项 --builtin mlflow-scorers-list 命令行选项 --compression-type <compression_type> mlflow-sagemaker-deploy-transform-job 命令行选项 --config <NAME=VALUE> mlflow-deployments-create 命令行选项 mlflow-deployments-create-endpoint 命令行选项 mlflow-deployments-delete 命令行选项 mlflow-deployments-run-local 命令行选项 mlflow-deployments-update 命令行选项 mlflow-deployments-update-endpoint 命令行选项 --config-path <config_path> mlflow-gateway-start 命令行选项 --container <container> mlflow-sagemaker-build-and-push-container 命令行选项 --content-type <content_type> mlflow-models-predict 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 --cors-allowed-origins <cors_allowed_origins> mlflow-server 命令行选项 --default-artifact-root <URI> mlflow-server 命令行选项 --description <description> mlflow-runs-create 命令行选项 mlflow-scorers-register-llm-judge 命令行选项 --dev mlflow-server 命令行选项 --disable mlflow-autolog-claude 命令行选项 --disable-security-middleware mlflow-server 命令行选项 --docker-args <NAME=VALUE> mlflow-run 命令行选项 --dst-path <dst_path> mlflow-artifacts-download 命令行选项 --enable-mlserver mlflow-models-build-docker 命令行选项 mlflow-models-generate-dockerfile 命令行选项 mlflow-models-serve 命令行选项 --endpoint <endpoint> mlflow-deployments-create 命令行选项 mlflow-deployments-create-endpoint 命令行选项 mlflow-deployments-delete 命令行选项 mlflow-deployments-delete-endpoint 命令行选项 mlflow-deployments-explain 命令行选项 mlflow-deployments-get 命令行选项 mlflow-deployments-get-endpoint 命令行选项 mlflow-deployments-list 命令行选项 mlflow-deployments-predict 命令行选项 mlflow-deployments-update 命令行选项 mlflow-deployments-update-endpoint 命令行选项 --entry-point <NAME> mlflow-run 命令行选项 --env <env> mlflow-models-predict 命令行选项 --env-file <env_file> mlflow 命令行选项 --env-manager <env_manager> mlflow-models-build-docker 命令行选项 mlflow-models-generate-dockerfile 命令行选项 mlflow-models-predict 命令行选项 mlflow-models-prepare-env 命令行选项 mlflow-models-serve 命令行选项 mlflow-run 命令行选项 mlflow-sagemaker-build-and-push-container 命令行选项 --execution-role-arn <execution_role_arn> mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 --experiment-id <experiment_id> mlflow-autolog-claude 命令行选项 mlflow-experiments-csv 命令行选项 mlflow-experiments-delete 命令行选项 mlflow-experiments-get 命令行选项 mlflow-experiments-rename 命令行选项 mlflow-experiments-restore 命令行选项 mlflow-run 命令行选项 mlflow-runs-create 命令行选项 mlflow-runs-list 命令行选项 mlflow-scorers-list 命令行选项 mlflow-scorers-register-llm-judge 命令行选项 mlflow-traces-delete 命令行选项 mlflow-traces-evaluate 命令行选项 mlflow-traces-search 命令行选项 --experiment-ids <experiment_ids> mlflow-gc 命令行选项 --experiment-name <experiment_name> mlflow-autolog-claude 命令行选项 mlflow-experiments-create 命令行选项 mlflow-run 命令行选项 mlflow-runs-create 命令行选项 --expose-prometheus <expose_prometheus> mlflow-server 命令行选项 --extract-fields <extract_fields> mlflow-traces-get 命令行选项 mlflow-traces-search 命令行选项 --filename <filename> mlflow-experiments-csv 命令行选项 --filter-string <filter_string> mlflow-traces-search 命令行选项 --flavor <flavor> mlflow-deployments-create 命令行选项 mlflow-deployments-run-local 命令行选项 mlflow-deployments-update 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 --gunicorn-opts <gunicorn_opts> mlflow-server 命令行选项 --host <HOST> mlflow-models-serve 命令行选项 mlflow-server 命令行选项 --host <host> mlflow-gateway-start 命令行选项 --image-url <image_url> mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 --include-spans mlflow-traces-search 命令行选项 --input-data-type <input_data_type> mlflow-sagemaker-deploy-transform-job 命令行选项 --input-filter <input_filter> mlflow-sagemaker-deploy-transform-job 命令行选项 --input-path <input_path> mlflow-deployments-explain 命令行选项 mlflow-deployments-predict 命令行选项 mlflow-models-predict 命令行选项 --input-uri <input_uri> mlflow-sagemaker-deploy-transform-job 命令行选项 --install-java <install_java> mlflow-models-build-docker 命令行选项 mlflow-models-generate-dockerfile 命令行选项 mlflow-sagemaker-build-and-push-container 命令行选项 --install-mlflow mlflow-models-build-docker 命令行选项 mlflow-models-generate-dockerfile 命令行选项 mlflow-models-predict 命令行选项 mlflow-models-prepare-env 命令行选项 mlflow-models-serve 命令行选项 --instance-count <instance_count> mlflow-sagemaker-deploy-transform-job 命令行选项 --instance-type <instance_type> mlflow-sagemaker-deploy-transform-job 命令行选项 --instructions <instructions> mlflow-scorers-register-llm-judge 命令行选项 --job-name <job_name> mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-terminate-transform-job 命令行选项 --join-resource <join_resource> mlflow-sagemaker-deploy-transform-job 命令行选项 --key <key> mlflow-traces-delete-tag 命令行选项 mlflow-traces-set-tag 命令行选项 --local-dir <local_dir> mlflow-artifacts-log-artifacts 命令行选项 --local-file <local_file> mlflow-artifacts-log-artifact 命令行选项 --logged-model-ids <logged_model_ids> mlflow-gc 命令行选项 --mask-envs mlflow-doctor 命令行选项 --max-results <max_results> mlflow-experiments-search 命令行选项 mlflow-traces-search 命令行选项 --max-timestamp-millis <max_timestamp_millis> mlflow-traces-delete 命令行选项 --max-traces <max_traces> mlflow-traces-delete 命令行选项 --metadata <metadata> mlflow-traces-log-expectation 命令行选项 mlflow-traces-log-feedback 命令行选项 mlflow-traces-update-assessment 命令行选项 --mlflow-home <PATH> mlflow-models-build-docker 命令行选项 mlflow-models-generate-dockerfile 命令行选项 mlflow-sagemaker-build-and-push-container 命令行选项 --model <model> mlflow-scorers-register-llm-judge 命令行选项 --model-id <model_id> mlflow-traces-search 命令行选项 --model-name <model_name> mlflow-sagemaker-push-model 命令行选项 --model-uri <URI> mlflow-deployments-create 命令行选项 mlflow-deployments-run-local 命令行选项 mlflow-deployments-update 命令行选项 mlflow-models-build-docker 命令行选项 mlflow-models-generate-dockerfile 命令行选项 mlflow-models-predict 命令行选项 mlflow-models-prepare-env 命令行选项 mlflow-models-serve 命令行选项 mlflow-models-update-pip-requirements 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 --name <name> mlflow-deployments-create 命令行选项 mlflow-deployments-delete 命令行选项 mlflow-deployments-explain 命令行选项 mlflow-deployments-get 命令行选项 mlflow-deployments-predict 命令行选项 mlflow-deployments-run-local 命令行选项 mlflow-deployments-update 命令行选项 mlflow-models-build-docker 命令行选项 mlflow-scorers-register-llm-judge 命令行选项 mlflow-traces-log-expectation 命令行选项 mlflow-traces-log-feedback 命令行选项 --namespace <namespace> mlflow-ai-commands-list 命令行选项 --new-name <new_name> mlflow-experiments-rename 命令行选项 --new-passphrase <new_passphrase> mlflow-crypto-rotate-kek 命令行选项 --no-build mlflow-sagemaker-build-and-push-container 命令行选项 --no-conda mlflow-models-serve 命令行选项 --no-include-spans mlflow-traces-search 命令行选项 --no-push mlflow-sagemaker-build-and-push-container 命令行选项 --no-serve-artifacts mlflow-server 命令行选项 --older-than <older_than> mlflow-gc 命令行选项 --order-by <order_by> mlflow-traces-search 命令行选项 --output <output> mlflow-experiments-get 命令行选项 mlflow-scorers-list 命令行选项 mlflow-traces-search 命令行选项 --output <output_format> mlflow-traces-evaluate 命令行选项 --output-directory <output_directory> mlflow-models-generate-dockerfile 命令行选项 --output-filter <output_filter> mlflow-sagemaker-deploy-transform-job 命令行选项 --output-path <output_path> mlflow-deployments-explain 命令行选项 mlflow-deployments-predict 命令行选项 mlflow-models-predict 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项

--page-token <page_token> mlflow-traces-search 命令行选项 --param-list <NAME=VALUE> mlflow-run 命令行选项 --parent-run-id <parent_run_id> mlflow-runs-create 命令行选项 --pip-requirements-override <pip_requirements_override> mlflow-models-predict 命令行选项 --port <port> mlflow-gateway-start 命令行选项 mlflow-models-serve 命令行选项 mlflow-server 命令行选项 --push mlflow-sagemaker-build-and-push-container 命令行选项 --rationale <rationale> mlflow-traces-log-feedback 命令行选项 mlflow-traces-update-assessment 命令行选项 --region-name <region_name> mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 mlflow-sagemaker-terminate-transform-job 命令行选项 --registry-store-uri <URI> mlflow-server 命令行选项 --run-id <RUN_ID> mlflow-run 命令行选项 --run-id <run_id> mlflow-artifacts-download 命令行选项 mlflow-artifacts-list 命令行选项 mlflow-artifacts-log-artifact 命令行选项 mlflow-artifacts-log-artifacts 命令行选项 mlflow-runs-delete 命令行选项 mlflow-runs-describe 命令行选项 mlflow-runs-link-traces 命令行选项 mlflow-runs-restore 命令行选项 mlflow-traces-search 命令行选项 --run-ids <run_ids> mlflow-gc 命令行选项 --run-name <RUN_NAME> mlflow-run 命令行选项 --run-name <run_name> mlflow-runs-create 命令行选项 --scorers <scorers> mlflow-traces-evaluate 命令行选项 --secrets-cache-max-size <secrets_cache_max_size> mlflow-server 命令行选项 --secrets-cache-ttl <secrets_cache_ttl> mlflow-server 命令行选项 --serve-artifacts mlflow-server 命令行选项 --source-id <source_id> mlflow-traces-log-expectation 命令行选项 mlflow-traces-log-feedback 命令行选项 --source-type <source_type> mlflow-traces-log-expectation 命令行选项 mlflow-traces-log-feedback 命令行选项 --span-id <span_id> mlflow-traces-log-expectation 命令行选项 mlflow-traces-log-feedback 命令行选项 --split-type <split_type> mlflow-sagemaker-deploy-transform-job 命令行选项 --sql-warehouse-id <sql_warehouse_id> mlflow-traces-search 命令行选项 --static-prefix <static_prefix> mlflow-server 命令行选项 --status mlflow-autolog-claude 命令行选项 --status <status> mlflow-runs-create 命令行选项 --storage-dir <storage_dir> mlflow-run 命令行选项 --tags <tags> mlflow-runs-create 命令行选项 --target <target> mlflow-deployments-create 命令行选项 mlflow-deployments-create-endpoint 命令行选项 mlflow-deployments-delete 命令行选项 mlflow-deployments-delete-endpoint 命令行选项 mlflow-deployments-explain 命令行选项 mlflow-deployments-get 命令行选项 mlflow-deployments-get-endpoint 命令行选项 mlflow-deployments-help 命令行选项 mlflow-deployments-list 命令行选项 mlflow-deployments-list-endpoints 命令行选项 mlflow-deployments-predict 命令行选项 mlflow-deployments-run-local 命令行选项 mlflow-deployments-update 命令行选项 mlflow-deployments-update-endpoint 命令行选项 --timeout <timeout> mlflow-models-serve 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-terminate-transform-job 命令行选项 --trace-id <trace_id> mlflow-traces-delete-assessment 命令行选项 mlflow-traces-delete-tag 命令行选项 mlflow-traces-get 命令行选项 mlflow-traces-get-assessment 命令行选项 mlflow-traces-log-expectation 命令行选项 mlflow-traces-log-feedback 命令行选项 mlflow-traces-set-tag 命令行选项 mlflow-traces-update-assessment 命令行选项 --trace-id <trace_ids> mlflow-runs-link-traces 命令行选项 --trace-ids <trace_ids> mlflow-traces-delete 命令行选项 mlflow-traces-evaluate 命令行选项 --tracking-uri <tracking_uri> mlflow-autolog-claude 命令行选项 mlflow-gc 命令行选项 --uvicorn-opts <uvicorn_opts> mlflow-server 命令行选项 --value <value> mlflow-traces-log-expectation 命令行选项 mlflow-traces-log-feedback 命令行选项 mlflow-traces-set-tag 命令行选项 mlflow-traces-update-assessment 命令行选项 --verbose mlflow-traces-get 命令行选项 mlflow-traces-search 命令行选项 --version mlflow 命令行选项 --version <VERSION> mlflow-run 命令行选项 --view <view> mlflow-experiments-search 命令行选项 mlflow-runs-list 命令行选项 --vpc-config <vpc_config> mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 --waitress-opts <waitress_opts> mlflow-server 命令行选项 --workers <workers> mlflow-gateway-start 命令行选项 mlflow-models-serve 命令行选项 mlflow-server 命令行选项 --x-frame-options <x_frame_options> mlflow-server 命令行选项 --yes mlflow-crypto-rotate-kek 命令行选项 -A mlflow-run 命令行选项 -a mlflow-artifacts-download 命令行选项 mlflow-artifacts-list 命令行选项 mlflow-artifacts-log-artifact 命令行选项 mlflow-artifacts-log-artifacts 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 -b mlflow-run 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 mlflow-scorers-list 命令行选项 -C mlflow-deployments-create 命令行选项 mlflow-deployments-create-endpoint 命令行选项 mlflow-deployments-delete 命令行选项 mlflow-deployments-run-local 命令行选项 mlflow-deployments-update 命令行选项 mlflow-deployments-update-endpoint 命令行选项 -c mlflow-run 命令行选项 mlflow-sagemaker-build-and-push-container 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 -d mlflow-artifacts-download 命令行选项 mlflow-models-generate-dockerfile 命令行选项 mlflow-scorers-register-llm-judge 命令行选项 -e mlflow-autolog-claude 命令行选项 mlflow-run 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 -f mlflow-deployments-create 命令行选项 mlflow-deployments-run-local 命令行选项 mlflow-deployments-update 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 -h mlflow-models-serve 命令行选项 mlflow-server 命令行选项 -I mlflow-deployments-explain 命令行选项 mlflow-deployments-predict 命令行选项 -i mlflow-models-predict 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 mlflow-scorers-register-llm-judge 命令行选项 -j mlflow-sagemaker-deploy-transform-job 命令行选项 -l mlflow-artifacts-log-artifact 命令行选项 mlflow-artifacts-log-artifacts 命令行选项 mlflow-experiments-create 命令行选项 -m mlflow-deployments-create 命令行选项 mlflow-deployments-run-local 命令行选项 mlflow-deployments-update 命令行选项 mlflow-models-build-docker 命令行选项 mlflow-models-generate-dockerfile 命令行选项 mlflow-models-predict 命令行选项 mlflow-models-prepare-env 命令行选项 mlflow-models-serve 命令行选项 mlflow-models-update-pip-requirements 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 mlflow-scorers-register-llm-judge 命令行选项 -n mlflow-autolog-claude 命令行选项 mlflow-experiments-create 命令行选项 mlflow-models-build-docker 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 mlflow-sagemaker-terminate-transform-job 命令行选项 mlflow-scorers-register-llm-judge 命令行选项 -O mlflow-deployments-explain 命令行选项 mlflow-deployments-predict 命令行选项 -o mlflow-experiments-csv 命令行选项 mlflow-models-predict 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 -P mlflow-run 命令行选项 -p mlflow-models-serve 命令行选项 mlflow-server 命令行选项 -r mlflow-artifacts-download 命令行选项 mlflow-artifacts-list 命令行选项 mlflow-artifacts-log-artifact 命令行选项 mlflow-artifacts-log-artifacts 命令行选项 mlflow-models-predict 命令行选项 mlflow-sagemaker-terminate-transform-job 命令行选项 -s mlflow-sagemaker-deploy-transform-job 命令行选项 -t mlflow-deployments-create 命令行选项 mlflow-deployments-create-endpoint 命令行选项 mlflow-deployments-delete 命令行选项 mlflow-deployments-delete-endpoint 命令行选项 mlflow-deployments-explain 命令行选项 mlflow-deployments-get 命令行选项 mlflow-deployments-get-endpoint 命令行选项 mlflow-deployments-help 命令行选项 mlflow-deployments-list 命令行选项 mlflow-deployments-list-endpoints 命令行选项 mlflow-deployments-predict 命令行选项 mlflow-deployments-run-local 命令行选项 mlflow-deployments-update 命令行选项 mlflow-deployments-update-endpoint 命令行选项 mlflow-models-predict 命令行选项 mlflow-models-serve 命令行选项 mlflow-runs-create 命令行选项 mlflow-runs-link-traces 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 -u mlflow-artifacts-download 命令行选项 mlflow-autolog-claude 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 -v mlflow-experiments-search 命令行选项 mlflow-run 命令行选项 mlflow-runs-list 命令行选项 mlflow-sagemaker-deploy-transform-job 命令行选项 mlflow-sagemaker-push-model 命令行选项 -w mlflow-models-serve 命令行选项 mlflow-server 命令行选项 -x mlflow-experiments-csv 命令行选项 mlflow-experiments-delete 命令行选项 mlflow-experiments-get 命令行选项 mlflow-experiments-rename 命令行选项 mlflow-experiments-restore 命令行选项 mlflow-scorers-list 命令行选项 mlflow-scorers-register-llm-judge 命令行选项 mlflow-traces-delete 命令行选项 mlflow-traces-evaluate 命令行选项 mlflow-traces-search 命令行选项 -y mlflow-crypto-rotate-kek 命令行选项

A

action (mlflow.entities.WebhookEvent 属性) ACTIVE (mlflow.entities.LifecycleStage 属性) (mlflow.entities.WebhookStatus 属性) ACTIVE_ONLY (mlflow.entities.ViewType 属性) active_run() (模块 mlflow 中) ActiveModel (类 mlflow 中) ActiveRun (类 mlflow 中) add_agent() (mlflow.genai.ReviewApp 方法) add_dataset() (mlflow.genai.LabelingSession 方法) add_dataset_to_experiments() (模块 mlflow.genai.datasets 中) (mlflow.client.MlflowClient 方法) add_event() (mlflow.entities.LiveSpan 方法) (mlflow.entities.NoOpSpan 方法) add_flavor() (mlflow.models.Model 方法) add_libraries_to_model() (模块 mlflow.models 中) add_to_model() (模块 mlflow.pyfunc 中) add_trace() (模块 mlflow 中) add_traces() (mlflow.genai.LabelingSession 方法) Agent (类 mlflow.genai 中) AGENT (mlflow.entities.SpanType 属性) agent (mlflow.genai.LabelingSession 属性) agent_name (mlflow.genai.Agent 属性) agents (mlflow.genai.ReviewApp 属性) AgentServer (类 mlflow.genai.agent_server 中) aggregations (mlflow.genai.Scorer 属性) AI21LABS (mlflow.gateway.config.Provider 属性) ai21labs_api_key (mlflow.gateway.config.AI21LabsConfig 属性) AI21LabsConfig (类 mlflow.gateway.config 中) AI_JUDGE (mlflow.entities.AssessmentSourceType 属性) algorithm (mlflow.genai.optimize.OptimizerConfig 属性) alias (mlflow.entities.model_registry.RegisteredModelAlias 属性) (mlflow.webhooks.ModelVersionAliasCreatedPayload 属性) (mlflow.webhooks.ModelVersionAliasDeletedPayload 属性) (mlflow.webhooks.PromptAliasCreatedPayload 属性) (mlflow.webhooks.PromptAliasDeletedPayload 属性) AliasedConfigModel (类 mlflow.gateway.config 中) aliases (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.entities.model_registry.RegisteredModel 属性) aliases() (mlflow.entities.model_registry.ModelVersionSearch 方法) (mlflow.entities.model_registry.RegisteredModelSearch 方法) align() (mlflow.genai.judges.AlignmentOptimizer 方法) (mlflow.genai.judges.Judge 方法) AlignmentOptimizer (类 mlflow.genai.judges 中) ALL (mlflow.entities.ViewType 属性) all_states() (mlflow.entities.model_registry.RegisteredModelDeploymentJobState 静态方法) all_status() (mlflow.entities.RunStatus 静态方法) AMAZON_BEDROCK (mlflow.gateway.config.Provider 属性) AmazonBedrockConfig (类 mlflow.gateway.config 中) Annotation (类 mlflow.types.responses_helpers 中) AnnotationFileCitation (类 mlflow.types.responses_helpers 中) AnnotationFilePath (类 mlflow.types.responses_helpers 中) AnnotationURLCitation (类 mlflow.types.responses_helpers 中) answer_correctness() (模块 mlflow.metrics.genai 中) answer_relevance() (模块 mlflow.metrics.genai 中) answer_similarity() (模块 mlflow.metrics.genai 中) AnswerRelevancy (类 mlflow.genai.scorers.deepeval 中) ANTHROPIC (mlflow.gateway.config.Provider 属性) anthropic_api_key (mlflow.gateway.config.AnthropicConfig 属性) anthropic_version (mlflow.gateway.config.AnthropicConfig 属性) AnthropicConfig (类 mlflow.gateway.config 中) AnyType (类 mlflow.types.schema 中) APP (mlflow.models.ResourceType 属性) ArgumentCorrectness (类 mlflow.genai.scorers.deepeval 中)

ari_grade_level() (模块 mlflow.metrics 中) Array (类 mlflow.types.schema 中) artifact_location (mlflow.entities.Experiment 属性) (mlflow.entities.LoggedModel 属性) artifact_path (mlflow.models.model.ModelInfo 属性) artifact_uri (mlflow.entities.RunInfo 属性) artifacts (mlflow.models.EvaluationResult 属性) (mlflow.pyfunc.PythonModelContext 属性) as_spark_schema() (mlflow.types.Schema 方法) AspectCritic (类 mlflow.genai.scorers.ragas 中) Assessment (类 mlflow.entities 中) assessment_id (mlflow.entities.Assessment 属性) AssessmentError (类 mlflow.entities 中) assessments (mlflow.entities.TraceInfo 属性) AssessmentSource (类 mlflow.entities 中) AssessmentSourceType (类 mlflow.entities 中) assigned_users (mlflow.genai.LabelingSession 属性) attributes (mlflow.entities.Span 属性) (mlflow.entities.SpanEvent 属性) AudioContentPart (类 mlflow.types.chat 中) auth_config (mlflow.entities.GatewaySecretInfo 属性) auth_policy (mlflow.models.Model 属性) AuthServiceClient (类 mlflow.server.auth.client 中) autolog (mlflow.genai.optimize.OptimizerConfig 属性) autolog() (模块 mlflow 中) (模块 mlflow.ag2 中) (模块 mlflow.agno 中) (模块 mlflow.anthropic 中) (模块 mlflow.autogen 中) (模块 mlflow.bedrock 中) (模块 mlflow.crewai 中) (模块 mlflow.dspy 中) (模块 mlflow.gemini 中) (模块 mlflow.groq 中) (模块 mlflow.haystack 中) (模块 mlflow.langchain 中) (模块 mlflow.lightgbm 中) (模块 mlflow.litellm 中) (模块 mlflow.llama_index 中) (模块 mlflow.mistral 中) (模块 mlflow.openai 中) (模块 mlflow.paddle 中) (模块 mlflow.pydantic_ai 中) (模块 mlflow.pyspark.ml 中) (模块 mlflow.pytorch 中) (模块 mlflow.sklearn 中) (模块 mlflow.smolagents 中) (模块 mlflow.spark 中) (模块 mlflow.statsmodels 中) (模块 mlflow.strands 中) (模块 mlflow.tensorflow 中) (模块 mlflow.transformers 中) (模块 mlflow.xgboost 中) AutologHelpers (类 mlflow.statsmodels 中) aws_access_key_id (mlflow.gateway.config.AWSIdAndKey 属性) aws_config (mlflow.gateway.config.AmazonBedrockConfig 属性) aws_region (mlflow.gateway.config.AWSBaseConfig 属性) aws_role_arn (mlflow.gateway.config.AWSRole 属性) aws_secret_access_key (mlflow.gateway.config.AWSIdAndKey 属性) aws_session_token (mlflow.gateway.config.AWSIdAndKey 属性) AWSBaseConfig (类 mlflow.gateway.config 中) AWSIdAndKey (类 mlflow.gateway.config 中) AWSRole (类 mlflow.gateway.config 中) AZURE (mlflow.gateway.config.OpenAIAPIType 属性) AZUREAD (mlflow.gateway.config.OpenAIAPIType 属性)

B

base_uri (mlflow.genai.optimize.LLMParams 属性) BaseDeploymentClient (类 mlflow.deployments 中) BasePromptOptimizer (类 mlflow.genai.optimize 中) BaseRequestPayload (类 mlflow.types.chat 中) (类 mlflow.types.responses_helpers 中) BEDROCK (mlflow.gateway.config.Provider 属性) Bias (类 mlflow.genai.scorers.deepeval 中)

binary (mlflow.types.DataType 属性) bleu() (模块 mlflow.metrics 中) BleuScore (类 mlflow.genai.scorers.ragas 中) boolean (mlflow.types.DataType 属性) build_docker() (模块 mlflow.models 中) build_image() (mlflow.models.FlavorBackend 方法) build_model_env() (模块 mlflow.pyfunc 中)

C

calls (mlflow.gateway.config.Limit 属性) can_build_image() (mlflow.models.FlavorBackend 方法) can_score_model() (mlflow.models.FlavorBackend 方法) cancel() (mlflow.projects.SubmittedRun 方法) catalog_name (mlflow.entities.UCSchemaLocation 属性) CategoricalRating (类 mlflow.genai.judges 中) CHAIN (mlflow.entities.SpanType 属性) CHAT_MODEL (mlflow.entities.SpanType 属性) ChatAgent (类 mlflow.pyfunc 中) ChatAgentChunk (类 mlflow.types.agent 中) ChatAgentMessage (类 mlflow.types.agent 中) ChatAgentOutputParser (类 mlflow.langchain.output_parsers 中) ChatAgentRequest (类 mlflow.types.agent 中) ChatAgentResponse (类 mlflow.types.agent 中) ChatAgentState (类 mlflow.langchain.chat_agent_langgraph 中) ChatAgentToolNode (类 mlflow.langchain.chat_agent_langgraph 中) ChatChoice (类 mlflow.types.chat 中) (类 mlflow.types.llm 中) ChatChoiceDelta (类 mlflow.types.chat 中) (类 mlflow.types.llm 中) ChatChoiceLogProbs (类 mlflow.types.llm 中) ChatChunkChoice (类 mlflow.types.chat 中) (类 mlflow.types.llm 中) ChatCompletionChunk (类 mlflow.types.chat 中) (类 mlflow.types.llm 中) ChatCompletionRequest (类 mlflow.types.chat 中) (类 mlflow.types.llm 中) ChatCompletionResponse (类 mlflow.types.chat 中) (类 mlflow.types.llm 中) ChatContext (类 mlflow.types.agent 中) ChatMessage (类 mlflow.types.chat 中) (类 mlflow.types.llm 中) ChatModel (类 mlflow.pyfunc 中) ChatParams (类 mlflow.types.llm 中) ChatTool (类 mlflow.types.chat 中) ChatUsage (类 mlflow.types.chat 中) check_content_and_tool_calls() (mlflow.types.agent.ChatAgentMessage 方法) check_message_id() (mlflow.types.agent.ChatAgentChunk 方法) check_message_ids() (mlflow.types.agent.ChatAgentResponse 方法) check_tool_messages() (mlflow.types.agent.ChatAgentMessage 方法) ChrfScore (类 mlflow.genai.scorers.ragas 中) clear_active_model() (模块 mlflow 中) client_request_id (mlflow.entities.TraceInfo 属性) CODE (mlflow.entities.AssessmentSourceType 属性) (mlflow.entities.DatasetRecordSourceType 属性) COHERE (mlflow.gateway.config.Provider 属性) cohere_api_key (mlflow.gateway.config.CohereConfig 属性) CohereConfig (类 mlflow.gateway.config 中) ColSpec (类 mlflow.types 中) commit_message (mlflow.entities.model_registry.PromptVersion 属性) Completeness (类 mlflow.genai.scorers 中) CONDA (mlflow.pyfunc.EnvType 属性) config (mlflow.gateway.config.Model 属性) ConfigModel (类 mlflow.gateway.base_models 中) configure() (模块 mlflow.tracing 中) CONNECTED (mlflow.entities.model_registry.RegisteredModelDeploymentJobState 属性) Content (类 mlflow.types.responses_helpers 中) content (mlflow.models.EvaluationArtifact 属性) context (mlflow.entities.NoOpSpan 属性) ContextEntityRecall (类 mlflow.genai.scorers.ragas 中) ContextPrecision (类 mlflow.genai.scorers.ragas 中) ContextRecall (类 mlflow.genai.scorers.ragas 中) ContextualPrecision (类 mlflow.genai.scorers.deepeval 中) ContextualRecall (类 mlflow.genai.scorers.deepeval 中) ContextualRelevancy (类 mlflow.genai.scorers.deepeval 中) ConversationalRoleAdherence (类 mlflow.genai.scorers 中) ConversationalSafety (类 mlflow.genai.scorers 中) ConversationalToolCallEfficiency (类 mlflow.genai.scorers 中) ConversationCompleteness (类 mlflow.genai.scorers 中) (类 mlflow.genai.scorers.deepeval 中)

convert_input_example_to_serving_input() (模块 mlflow.models 中) convert_response_format_to_dict() (mlflow.entities.model_registry.PromptVersion 静态方法) convert_to_single_text (mlflow.genai.optimize.OptimizerConfig 属性) copy_model_version() (mlflow.client.MlflowClient 方法) Correctness (类 mlflow.genai.scorers 中) create_annotation_added() (mlflow.pyfunc.ResponsesAgent 静态方法) create_dataset() (模块 mlflow.genai 中) (模块 mlflow.genai.datasets 中) (mlflow.client.MlflowClient 方法) create_deployment() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) create_endpoint() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) create_experiment() (模块 mlflow 中) (mlflow.client.MlflowClient 方法) create_experiment_permission() (mlflow.server.auth.client.AuthServiceClient 方法) create_external_model() (模块 mlflow 中) create_function_call_item() (mlflow.pyfunc.ResponsesAgent 静态方法) create_function_call_output_item() (mlflow.pyfunc.ResponsesAgent 静态方法) create_label_schema() (模块 mlflow.genai.label_schemas 中) create_labeling_session() (模块 mlflow.genai 中) create_logged_model() (mlflow.client.MlflowClient 方法) create_model_version() (mlflow.client.MlflowClient 方法) create_prompt() (mlflow.client.MlflowClient 方法) create_prompt_version() (mlflow.client.MlflowClient 方法) create_reasoning_item() (mlflow.pyfunc.ResponsesAgent 静态方法) create_registered_model() (mlflow.client.MlflowClient 方法) create_registered_model_permission() (mlflow.server.auth.client.AuthServiceClient 方法) create_run() (mlflow.client.MlflowClient 方法) create_scorer_permission() (mlflow.server.auth.client.AuthServiceClient 方法) create_text_delta() (mlflow.pyfunc.ResponsesAgent 静态方法) create_text_output_item() (mlflow.pyfunc.ResponsesAgent 静态方法) create_time (mlflow.data.evaluation_dataset.EvaluationDataset 属性) create_time_ms (mlflow.entities.Assessment 属性) create_user() (mlflow.server.auth.client.AuthServiceClient 方法) create_webhook() (mlflow.client.MlflowClient 方法) created_at (mlflow.entities.GatewayEndpoint 属性) (mlflow.entities.GatewayEndpointBinding 属性) (mlflow.entities.GatewayEndpointModelMapping 属性) (mlflow.entities.GatewayModelDefinition 属性) (mlflow.entities.GatewaySecretInfo 属性) created_by (mlflow.entities.DatasetRecord 属性) (mlflow.entities.GatewayEndpoint 属性) (mlflow.entities.GatewayEndpointBinding 属性) (mlflow.entities.GatewayEndpointModelMapping 属性) (mlflow.entities.GatewayModelDefinition 属性) (mlflow.entities.GatewaySecretInfo 属性) created_time (mlflow.entities.DatasetRecord 属性) (mlflow.genai.datasets.EvaluationDataset 属性) creation_time (mlflow.entities.Experiment 属性) (mlflow.entities.ScorerVersion 属性) creation_timestamp (mlflow.entities.LoggedModel 属性) (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.entities.model_registry.RegisteredModel 属性) (mlflow.entities.Prompt 属性) (mlflow.entities.Webhook 属性) (mlflow.models.model.ModelInfo 属性) current_stage (mlflow.entities.model_registry.ModelVersion 属性) current_task_name (mlflow.entities.model_registry.ModelVersionDeploymentJobState 属性) custom_inputs (mlflow.genai.LabelingSession 属性) custom_prompt_judge() (模块 mlflow.genai.judges 中)

D

data (mlflow.data.tensorflow_dataset.TensorFlowDataset 属性) (mlflow.entities.Run 属性) (mlflow.entities.Trace 属性) DATABRICKS (mlflow.gateway.config.Provider 属性) DATABRICKS_MODEL_SERVING (mlflow.gateway.config.Provider 属性) DatabricksDeploymentClient (类 mlflow.deployments 中) DatabricksEndpoint (类 mlflow.deployments 中) Dataset (类 mlflow.data.dataset 中) (类 mlflow.entities 中) dataset (mlflow.entities.DatasetInput 属性) dataset_digest (mlflow.entities.Metric 属性) dataset_id (mlflow.entities.DatasetRecord 属性) (mlflow.genai.datasets.EvaluationDataset 属性) dataset_inputs (mlflow.entities.RunInputs 属性) dataset_name (mlflow.entities.Metric 属性) dataset_record_id (mlflow.entities.DatasetRecord 属性) DatasetInput (类 mlflow.entities 中) DatasetRecord (类 mlflow.entities 中) DatasetRecordSource (类 mlflow.entities 中) DatasetRecordSourceType (类 mlflow.entities 中) DatasetSource (类 mlflow.data.dataset_source 中) DataType (类 mlflow.types 中) datetime (mlflow.types.DataType 属性) default (mlflow.types.ParamSpec 属性) DEFAULT_EXPERIMENT_NAME (mlflow.entities.Experiment 属性) delete_assessment() (模块 mlflow 中) delete_dataset() (模块 mlflow.genai 中) (模块 mlflow.genai.datasets 中) (mlflow.client.MlflowClient 方法) delete_dataset_tag() (模块 mlflow.genai 中) (模块 mlflow.genai.datasets 中) (mlflow.client.MlflowClient 方法) delete_deployment() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) delete_endpoint() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) delete_experiment() (模块 mlflow 中) (mlflow.client.MlflowClient 方法) delete_experiment_permission() (mlflow.server.auth.client.AuthServiceClient 方法) delete_experiment_tag() (模块 mlflow 中) (mlflow.client.MlflowClient 方法) delete_label_schema() (模块 mlflow.genai.label_schemas 中) delete_labeling_session() (模块 mlflow.genai 中) delete_logged_model() (mlflow.client.MlflowClient 方法) delete_logged_model_tag() (模块 mlflow 中) (mlflow.client.MlflowClient 方法) delete_model_version() (mlflow.client.MlflowClient 方法) delete_model_version_tag() (mlflow.client.MlflowClient 方法) delete_prompt() (mlflow.client.MlflowClient 方法) delete_prompt_alias() (模块 mlflow.genai 中) (mlflow.client.MlflowClient 方法) delete_prompt_model_config() (模块 mlflow.genai 中) delete_prompt_tag() (模块 mlflow.genai 中) (mlflow.client.MlflowClient 方法) delete_prompt_version() (mlflow.client.MlflowClient 方法) delete_prompt_version_tag() (模块 mlflow.genai 中) (mlflow.client.MlflowClient 方法) delete_registered_model() (mlflow.client.MlflowClient 方法) delete_registered_model_alias() (mlflow.client.MlflowClient 方法) delete_registered_model_permission() (mlflow.server.auth.client.AuthServiceClient 方法) delete_registered_model_tag() (mlflow.client.MlflowClient 方法) delete_run() (模块 mlflow 中) (mlflow.client.MlflowClient 方法) delete_scorer() (模块 mlflow.genai.scorers 中) delete_scorer_permission() (mlflow.server.auth.client.AuthServiceClient 方法) delete_tag() (模块 mlflow 中) (mlflow.client.MlflowClient 方法)

delete_trace_tag() (模块 mlflow 中) (mlflow.client.MlflowClient 方法) delete_traces() (mlflow.client.MlflowClient 方法) delete_user() (mlflow.server.auth.client.AuthServiceClient 方法) delete_webhook() (mlflow.client.MlflowClient 方法) DELETED (mlflow.entities.LifecycleStage 属性) DELETED_ONLY (mlflow.entities.ViewType 属性) delta_table_id (mlflow.data.delta_dataset_source.DeltaDatasetSource 属性) delta_table_name (mlflow.data.delta_dataset_source.DeltaDatasetSource 属性) delta_table_version (mlflow.data.delta_dataset_source.DeltaDatasetSource 属性) DeltaDatasetSource (类 mlflow.data.delta_dataset_source 中) deploy_transform_job() (模块 mlflow.sagemaker 中) deployment_job_id (mlflow.entities.model_registry.RegisteredModel 属性) deployment_job_state (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.model_registry.RegisteredModel 属性) description (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.entities.model_registry.RegisteredModel 属性) (mlflow.entities.Prompt 属性) (mlflow.entities.SpanStatus 属性) (mlflow.entities.Webhook 属性) (mlflow.genai.Scorer 属性) (mlflow.genai.scorers.Completeness 属性) (mlflow.genai.scorers.ConversationalRoleAdherence 属性) (mlflow.genai.scorers.ConversationalSafety 属性) (mlflow.genai.scorers.ConversationalToolCallEfficiency 属性) (mlflow.genai.scorers.ConversationCompleteness 属性) (mlflow.genai.scorers.Correctness 属性) (mlflow.genai.scorers.Equivalence 属性) (mlflow.genai.scorers.ExpectationsGuidelines 属性) (mlflow.genai.scorers.Guidelines 属性) (mlflow.genai.scorers.RelevanceToQuery 属性) (mlflow.genai.scorers.RetrievalGroundedness 属性) (mlflow.genai.scorers.RetrievalRelevance 属性) (mlflow.genai.scorers.RetrievalSufficiency 属性) (mlflow.genai.scorers.Safety 属性) (mlflow.genai.scorers.Summarization 属性) (mlflow.genai.scorers.ToolCallEfficiency 属性) (mlflow.genai.scorers.UserFrustration 属性) (mlflow.webhooks.ModelVersionCreatedPayload 属性) (mlflow.webhooks.PromptCreatedPayload 属性) (mlflow.webhooks.PromptVersionCreatedPayload 属性) (mlflow.webhooks.RegisteredModelCreatedPayload 属性) destinations (mlflow.gateway.config.TrafficRouteConfig 属性) detach_prompt_from_run() (mlflow.client.MlflowClient 方法) detail (mlflow.types.chat.ImageUrl 属性) df (mlflow.data.pandas_dataset.PandasDataset 属性) (mlflow.data.polars_dataset.PolarsDataset 属性) (mlflow.data.spark_dataset.SparkDataset 属性) digest (mlflow.data.dataset.Dataset 属性) (mlflow.data.evaluation_dataset.EvaluationDataset 属性) (mlflow.data.polars_dataset.PolarsDataset.PolarsDatasetConfig 属性) (mlflow.entities.Dataset 属性) (mlflow.genai.datasets.EvaluationDataset 属性) DIRECTORY mlflow-autolog-claude 命令行选项 disable() (模块 mlflow.tracing 中) disable_git_model_versioning() (模块 mlflow.genai 中) disable_notebook_display() (模块 mlflow.tracing 中) disable_system_metrics_logging() (模块 mlflow 中) (模块 mlflow.config 中) (模块 mlflow.system_metrics 中) DISABLED (mlflow.entities.WebhookStatus 属性) doctor() (模块 mlflow 中) Document (类 mlflow.entities 中) DOCUMENT (mlflow.entities.DatasetRecordSourceType 属性) double (mlflow.types.DataType 属性) download_artifacts() (模块 mlflow.artifacts 中) (mlflow.client.MlflowClient 方法) ds (mlflow.data.huggingface_dataset.HuggingFaceDataset 属性) dtype (mlflow.types.ParamSpec 属性) (mlflow.types.schema.Array 属性) (mlflow.types.schema.Property 属性)

E

EMBEDDING (mlflow.entities.SpanType 属性) enable() (模块 mlflow.tracing 中) enable_async_logging() (模块 mlflow.config 中) enable_comment (mlflow.genai.label_schemas.LabelSchema 属性) enable_git_model_versioning() (模块 mlflow.genai 中) enable_multi_turn_chat (mlflow.genai.LabelingSession 属性) enable_notebook_display() (模块 mlflow.tracing 中) enable_system_metrics_logging() (模块 mlflow 中) (模块 mlflow.config 中) (模块 mlflow.system_metrics 中) end() (mlflow.entities.NoOpSpan 方法) end_run() (模块 mlflow 中) end_span() (mlflow.client.MlflowClient 方法) end_time (mlflow.entities.RunInfo 属性) end_time_ns (mlflow.entities.NoOpSpan 属性) (mlflow.entities.Span 属性) end_trace() (mlflow.client.MlflowClient 方法) endpoint_id (mlflow.entities.GatewayEndpoint 属性) (mlflow.entities.GatewayEndpointBinding 属性) (mlflow.entities.GatewayEndpointModelMapping 属性) endpoint_type (mlflow.gateway.config.EndpointConfig 属性) EndpointConfig (类 mlflow.gateway.config 中) EndpointModelInfo (类 mlflow.gateway.config 中) endpoints (mlflow.gateway.config.GatewayConfig 属性) EndpointType (类 mlflow.gateway.config 中) entity (mlflow.entities.WebhookEvent 属性) EntityAssociationType (类 mlflow.entities 中) env_vars (mlflow.models.Model 属性) (mlflow.models.model.ModelInfo 属性) EnvType (类 mlflow.pyfunc 中) Equivalence (类 mlflow.genai.scorers 中) error (mlflow.entities.Assessment 属性) ERROR (mlflow.entities.SpanStatusCode 属性) (mlflow.entities.TraceState 属性) error_code (mlflow.entities.AssessmentError 属性) (mlflow.entities.Feedback 属性) error_message (mlflow.entities.AssessmentError 属性) (mlflow.entities.Feedback 属性) (mlflow.entities.WebhookTestResult 属性) evaluate() (模块 mlflow 中) (模块 mlflow.genai 中) (模块 mlflow.models 中) EVALUATION_DATASET (mlflow.entities.EntityAssociationType 属性) EvaluationArtifact (类 mlflow.models 中) EvaluationDataset (类 mlflow.data.evaluation_dataset 中) (类 mlflow.genai.datasets 中) EvaluationExample (类 mlflow.metrics.genai 中) EvaluationMetric (类 mlflow.metrics 中) EvaluationResult (类 mlflow.models 中)

EVALUATOR (mlflow.entities.SpanType 属性) events (mlflow.entities.Span 属性) (mlflow.entities.Webhook 属性) exact_match() (模块 mlflow.metrics 中) ExactMatch (类 mlflow.genai.scorers.deepeval 中) (类 mlflow.genai.scorers.ragas 中) example() (mlflow.webhooks.ModelVersionAliasCreatedPayload 类方法) (mlflow.webhooks.ModelVersionAliasDeletedPayload 类方法) (mlflow.webhooks.ModelVersionCreatedPayload 类方法) (mlflow.webhooks.ModelVersionTagDeletedPayload 类方法) (mlflow.webhooks.ModelVersionTagSetPayload 类方法) (mlflow.webhooks.PromptAliasCreatedPayload 类方法) (mlflow.webhooks.PromptAliasDeletedPayload 类方法) (mlflow.webhooks.PromptCreatedPayload 类方法) (mlflow.webhooks.PromptTagDeletedPayload 类方法) (mlflow.webhooks.PromptTagSetPayload 类方法) (mlflow.webhooks.PromptVersionCreatedPayload 类方法) (mlflow.webhooks.PromptVersionTagDeletedPayload 类方法) (mlflow.webhooks.PromptVersionTagSetPayload 类方法) (mlflow.webhooks.RegisteredModelCreatedPayload 类方法) execution_duration (mlflow.entities.TraceInfo 属性) execution_time_ms (mlflow.entities.TraceInfo 属性) ExecutionException Expectation (类 mlflow.entities 中) expectation (mlflow.entities.Assessment 属性) EXPECTATION (mlflow.genai.label_schemas.LabelSchemaType 属性) expectations (mlflow.entities.DatasetRecord 属性) ExpectationsGuidelines (类 mlflow.genai.scorers 中) Experiment (类 mlflow.entities 中) EXPERIMENT (mlflow.entities.EntityAssociationType 属性) experiment_id (mlflow.entities.Experiment 属性) (mlflow.entities.LoggedModel 属性) (mlflow.entities.MlflowExperimentLocation 属性) (mlflow.entities.RunInfo 属性) (mlflow.entities.ScorerVersion 属性) (mlflow.entities.TraceInfo 属性) (mlflow.genai.LabelingSession 属性) (mlflow.genai.ReviewApp 属性) (mlflow.server.auth.entities.ExperimentPermission 属性) (mlflow.server.auth.entities.ScorerPermission 属性) experiment_ids (mlflow.genai.datasets.EvaluationDataset 属性) experiment_permissions (mlflow.server.auth.entities.User 属性) experimental() (模块 mlflow.genai.scorers.deepeval 中) ExperimentPermission (类 mlflow.server.auth.entities 中) ExperimentTag (类 mlflow.entities 中) explain() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) extra_params (mlflow.entities.model_registry.PromptModelConfig 属性) extract_instructions (mlflow.genai.optimize.OptimizerConfig 属性)

F

f1_score() (模块 mlflow.metrics 中) FactualCorrectness (类 mlflow.genai.scorers.ragas 中) FAILED (mlflow.entities.LoggedModelStatus 属性) (mlflow.entities.RunStatus 属性) Faithfulness (类 mlflow.genai.scorers.deepeval 中) (类 mlflow.genai.scorers.ragas 中) faithfulness() (模块 mlflow.metrics.genai 中) feature_names (mlflow.data.evaluation_dataset.EvaluationDataset 属性) features (mlflow.data.numpy_dataset.NumpyDataset 属性) features_data (mlflow.data.evaluation_dataset.EvaluationDataset 属性) Feedback (类 mlflow.entities 中) feedback (mlflow.entities.Assessment 属性) FEEDBACK (mlflow.genai.label_schemas.LabelSchemaType 属性) file_size (mlflow.entities.FileInfo 属性) FileInfo (类 mlflow.entities 中) FileSystemDatasetSource (类 mlflow.data.filesystem_dataset_source 中) filter_string (mlflow.genai.Scorer 属性) (mlflow.genai.scorers.ScorerSamplingConfig 属性) (mlflow.genai.ScorerScheduleConfig 属性) final_eval_score (mlflow.genai.optimize.PromptOptimizationResult 属性) (mlflow.genai.optimize.PromptOptimizerOutput 属性) finalize_logged_model() (模块 mlflow 中) (mlflow.client.MlflowClient 方法) FINISHED (mlflow.entities.RunStatus 属性) FlavorBackend (类 mlflow.models 中) flavors (mlflow.models.model.ModelInfo 属性) flesch_kincaid_grade_level() (模块 mlflow.metrics 中) float (mlflow.types.DataType 属性) flush_artifact_async_logging() (mlflow 模块中) flush_async_logging() (mlflow 模块中) flush_trace_async_logging() (mlflow 模块中) format() (mlflow.entities.model_registry.PromptVersion 方法) frequency_penalty (mlflow.entities.model_registry.PromptModelConfig 属性) from_databricks_uc_schema() (mlflow.entities.TraceLocation 类方法) from_dict() (mlflow.data.dataset_source.DatasetSource 类方法) (mlflow.data.delta_dataset_source.DeltaDatasetSource 类方法) (mlflow.data.filesystem_dataset_source.FileSystemDatasetSource 类方法) (mlflow.data.http_dataset_source.HTTPDatasetSource 类方法) (mlflow.data.huggingface_dataset_source.HuggingFaceDatasetSource 类方法) (mlflow.data.spark_dataset_source.SparkDatasetSource 类方法) (mlflow.entities.DatasetRecord 类方法) (mlflow.entities.DatasetRecordSource 类方法) (mlflow.entities.InferenceTableLocation 类方法) (mlflow.entities.LiveSpan 方法) (mlflow.entities.MlflowExperimentLocation 类方法) (mlflow.entities.model_registry.PromptModelConfig 类方法) (mlflow.entities.Span 类方法) (mlflow.entities.Trace类方法) (mlflow.entities.TraceData类方法) (mlflow.entities.TraceInfo类方法) (mlflow.entities.TraceLocation类方法) (mlflow.entities.TraceLocationType类方法) (mlflow.entities.UCSchemaLocation类方法) (mlflow.genai.datasets.EvaluationDataset类方法) (mlflow.models.Model类方法) (mlflow.models.ModelSignature类方法) (mlflow.models.Resource类方法) from_dict_v2() (mlflow.entities.Span类方法) from_dictionary() (mlflow.entities.Assessment类方法) (mlflow.entities.AssessmentError类方法) (mlflow.entities.AssessmentSource类方法) (mlflow.entities.Expectation类方法) (mlflow.entities.Feedback类方法) (mlflow.entities.Metric类方法) from_exception() (mlflow.entities.SpanEvent类方法) from_experiment_id() (mlflow.entities.TraceLocation类方法) from_huggingface() (mlflow.data.huggingface_dataset 模块中) from_int() (mlflow.entities.LoggedModelStatus类方法) from_json() (mlflow.data.dataset_source.DatasetSource 方法) (mlflow.entities.Trace类方法) (mlflow.server.auth.entities.ExperimentPermission类方法) (mlflow.server.auth.entities.RegisteredModelPermission类方法) (mlflow.server.auth.entities.ScorerPermission类方法) (mlflow.server.auth.entities.User类方法) (mlflow.types.ParamSchema类方法) (mlflow.types.Schema类方法) from_json_dict() (mlflow.types.ColSpec类方法) (mlflow.types.ParamSpec类方法) (mlflow.types.schema.Array类方法) (mlflow.types.schema.Map类方法) (mlflow.types.schema.Object类方法) (mlflow.types.schema.Property类方法) (mlflow.types.TensorSpec类方法)

from_langchain_document() (mlflow.entities.Document类方法) from_llama_index_node_with_score() (mlflow.entities.Document类方法) from_numpy() (mlflow.data 模块中) from_otel_proto() (mlflow.entities.Span类方法) from_otel_proto_status_code_name() (mlflow.entities.SpanStatusCode 静态方法) from_otel_status() (mlflow.entities.TraceState 静态方法) from_pandas() (mlflow.data 模块中) from_polars() (mlflow.data 模块中) from_proto() (mlflow.entities.Assessment类方法) (mlflow.entities.AssessmentError类方法) (mlflow.entities.AssessmentSource类方法) (mlflow.entities.AssessmentSourceType类方法) (mlflow.entities.Dataset类方法) (mlflow.entities.DatasetInput类方法) (mlflow.entities.DatasetRecord 类方法) (mlflow.entities.DatasetRecordSource 类方法) (mlflow.entities.DatasetRecordSourceType类方法) (mlflow.entities.Expectation类方法) (mlflow.entities.Experiment类方法) (mlflow.entities.ExperimentTag类方法) (mlflow.entities.Feedback类方法) (mlflow.entities.FileInfo类方法) (mlflow.entities.GatewayEndpoint类方法) (mlflow.entities.GatewayEndpointBinding类方法) (mlflow.entities.GatewayEndpointModelMapping类方法) (mlflow.entities.GatewayEndpointTag类方法) (mlflow.entities.GatewayModelDefinition类方法) (mlflow.entities.GatewaySecretInfo类方法) (mlflow.entities.InferenceTableLocation 类方法) (mlflow.entities.InputTag类方法) (mlflow.entities.LoggedModel类方法) (mlflow.entities.LoggedModelInput类方法) (mlflow.entities.LoggedModelOutput类方法) (mlflow.entities.LoggedModelParameter类方法) (mlflow.entities.LoggedModelStatus类方法) (mlflow.entities.LoggedModelTag类方法) (mlflow.entities.Metric类方法) (mlflow.entities.MlflowExperimentLocation 类方法) (mlflow.entities.model_registry.ModelVersion类方法) (mlflow.entities.model_registry.ModelVersionDeploymentJobState类方法) (mlflow.entities.model_registry.ModelVersionTag类方法) (mlflow.entities.model_registry.RegisteredModel类方法) (mlflow.entities.model_registry.RegisteredModelAlias类方法) (mlflow.entities.model_registry.RegisteredModelTag类方法) (mlflow.entities.Param类方法) (mlflow.entities.Run类方法) (mlflow.entities.RunData类方法) (mlflow.entities.RunInfo类方法) (mlflow.entities.RunInputs类方法) (mlflow.entities.RunOutputs类方法) (mlflow.entities.RunTag类方法) (mlflow.entities.ScorerVersion类方法) (mlflow.entities.Trace类方法) (mlflow.entities.TraceInfo类方法) (mlflow.entities.TraceLocation类方法) (mlflow.entities.TraceLocationType类方法) (mlflow.entities.TraceState类方法) (mlflow.entities.ViewType类方法) (mlflow.entities.Webhook类方法) (mlflow.entities.WebhookEvent类方法) (mlflow.entities.WebhookStatus类方法) (mlflow.entities.WebhookTestResult类方法) (mlflow.genai.datasets.EvaluationDataset类方法) from_spark() (mlflow.data 模块中) from_str() (mlflow.entities.WebhookEvent类方法) from_string() (mlflow.entities.model_registry.RegisteredModelDeploymentJobState 静态方法) (mlflow.entities.RunStatus 静态方法) (mlflow.entities.SourceType 静态方法) (mlflow.entities.ViewType类方法) from_tensorflow() (mlflow.data.tensorflow_dataset 模块中) full_otel_logs_table_name (mlflow.entities.UCSchemaLocation 属性) full_otel_spans_table_name (mlflow.entities.UCSchemaLocation 属性) full_table_name (mlflow.entities.InferenceTableLocation 属性) Function (mlflow.types.chat 类) FUNCTION (mlflow.models.ResourceType 属性) FunctionCallOutput (mlflow.types.responses_helpers 类) FunctionParams (mlflow.types.chat 类) FunctionTool (mlflow.types.responses_helpers 类) FunctionToolCallArguments (mlflow.types.llm 类) FunctionToolDefinition (mlflow.types.chat 类) (类 mlflow.types.llm 中)

G

GatewayConfig (mlflow.gateway.config 类) GatewayEndpoint (mlflow.entities 类) GatewayEndpointBinding (mlflow.entities 类) GatewayEndpointModelMapping (mlflow.entities 类) GatewayEndpointTag (mlflow.entities 类) GatewayModelDefinition (mlflow.entities 类) GatewayResourceType (mlflow.entities 类) GatewaySecretInfo (mlflow.entities 类) GEMINI (mlflow.gateway.config.Provider 属性) gemini_api_key (mlflow.gateway.config.GeminiConfig 属性) GeminiConfig (mlflow.gateway.config 类) generate_dockerfile() (mlflow.models.FlavorBackend 方法) generate_signature_output() (mlflow 模块中) GENIE_SPACE (mlflow.models.ResourceType 属性) GepaPromptOptimizer (mlflow.genai.optimize 类) get() (mlflow.models.ModelConfig 方法) get_active_model_id() (mlflow 模块中) get_active_trace_id() (mlflow 模块中) get_all_scorers() (mlflow.genai.scorers 模块中) get_app_client() (mlflow.server 模块中) get_artifact_uri() (mlflow 模块中) get_assessment() (mlflow 模块中) get_attribute() (mlflow.entities.Span 方法) get_combined_run_operations() (mlflow.utils.async_logging.run_operations 模块中) get_current_active_span() (mlflow 模块中) get_dataset() (mlflow.genai 模块中) (模块 mlflow.genai.datasets 中) (mlflow.client.MlflowClient 方法) get_default_conda_env() (mlflow.catboost 模块中) (mlflow.h2o 模块中) (mlflow.johnsnowlabs 模块中) (mlflow.keras.save 模块中) (模块 mlflow.lightgbm 中) (mlflow.onnx 模块中) (模块 mlflow.paddle 中) (mlflow.pmdarima 模块中) (mlflow.prophet 模块中) (mlflow.pyfunc 模块中) (模块 mlflow.pytorch 中) (mlflow.sentence_transformers 模块中) (mlflow.shap 模块中) (模块 mlflow.sklearn 中) (mlflow.spacy 模块中) (模块 mlflow.spark 中) (模块 mlflow.statsmodels 中) (模块 mlflow.tensorflow 中) (模块 mlflow.transformers 中) (模块 mlflow.xgboost 中) get_default_pip_requirements() (mlflow.catboost 模块中) (mlflow.h2o 模块中) (mlflow.johnsnowlabs 模块中) (mlflow.keras.save 模块中) (模块 mlflow.lightgbm 中) (mlflow.onnx 模块中) (模块 mlflow.paddle 中) (mlflow.pmdarima 模块中) (mlflow.prophet 模块中) (mlflow.pyfunc 模块中) (模块 mlflow.pytorch 中) (mlflow.sentence_transformers 模块中) (mlflow.shap 模块中) (模块 mlflow.sklearn 中) (mlflow.spacy 模块中) (模块 mlflow.spark 中) (模块 mlflow.statsmodels 中) (模块 mlflow.tensorflow 中) (模块 mlflow.transformers 中) (模块 mlflow.xgboost 中) get_deploy_client() (mlflow.deployments 模块中) get_deployment() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) get_deployments_target() (mlflow.deployments 模块中) get_endpoint() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) get_error_code() (mlflow.exceptions 模块中)

get_experiment() (mlflow 模块中) (mlflow.client.MlflowClient 方法) get_experiment_by_name() (mlflow 模块中) (mlflow.client.MlflowClient 方法) get_experiment_permission() (mlflow.server.auth.client.AuthServiceClient 方法) get_gateway_uri() (mlflow.gateway 模块中) get_global_custom_objects() (mlflow.tensorflow 模块中) get_http_status_code() (mlflow.MlflowException 方法) get_input_fields() (mlflow.genai.judges.Judge 方法) (mlflow.genai.scorers.Completeness 方法) (mlflow.genai.scorers.Correctness 方法) (mlflow.genai.scorers.Equivalence 方法) (mlflow.genai.scorers.ExpectationsGuidelines 方法) (mlflow.genai.scorers.Guidelines 方法) (mlflow.genai.scorers.RelevanceToQuery 方法) (mlflow.genai.scorers.RetrievalGroundedness 方法) (mlflow.genai.scorers.RetrievalRelevance 方法) (mlflow.genai.scorers.RetrievalSufficiency 方法) (mlflow.genai.scorers.Safety 方法) (mlflow.genai.scorers.Summarization 方法) (mlflow.genai.scorers.ToolCallEfficiency 方法) get_input_schema() (mlflow.models.Model 方法) get_invoke_function() (mlflow.genai.agent_server 模块中) get_label_schema() (mlflow.genai.label_schemas 模块中) get_labeling_session() (mlflow.genai 模块中) get_labeling_sessions() (mlflow.genai 模块中) get_last_active_trace_id() (mlflow 模块中) get_latest_versions() (mlflow.client.MlflowClient 方法) get_logged_model() (mlflow 模块中) (mlflow.client.MlflowClient 方法) get_metric_history() (mlflow.client.MlflowClient 方法) get_model_call_method() (mlflow.keras.load.KerasModelWrapper 方法) get_model_dependencies() (mlflow.pyfunc 模块中) get_model_info() (mlflow.models 模块中) (mlflow.models.Model 方法) get_model_version() (mlflow.client.MlflowClient 方法) get_model_version_by_alias() (mlflow.client.MlflowClient 方法) get_model_version_download_uri() (mlflow.client.MlflowClient 方法) get_model_version_stages() (mlflow.client.MlflowClient 方法) get_orderable_attributes() (mlflow.entities.RunInfo 类方法) get_output_fields() (mlflow.genai.judges.Judge类方法) get_output_schema() (mlflow.models.Model 方法) get_params_schema() (mlflow.models.Model 方法) get_parent_run() (mlflow 模块中) (mlflow.client.MlflowClient 方法) get_predictions() (mlflow.deployments.PredictionsResponse 方法) get_prompt() (mlflow.client.MlflowClient 方法) get_prompt_tags() (mlflow.genai 模块中) get_prompt_version() (mlflow.client.MlflowClient 方法) get_prompt_version_by_alias() (mlflow.client.MlflowClient 方法) get_raw_model() (mlflow.keras.load.KerasModelWrapper 方法) (mlflow.pyfunc.PyFuncModel 方法) get_registered_model() (mlflow.client.MlflowClient 方法) get_registered_model_permission() (mlflow.server.auth.client.AuthServiceClient 方法) get_registry_uri() (mlflow 模块中) (模块 mlflow.config 中) get_request_headers() (mlflow.genai.agent_server 模块中) get_review_app() (mlflow.genai 模块中) get_run() (mlflow 模块中) (mlflow.client.MlflowClient 方法) get_scorer() (mlflow.genai.scorers 模块中) (mlflow.genai.scorers.deepeval 模块中) (mlflow.genai.scorers.ragas 模块中) get_scorer_permission() (mlflow.server.auth.client.AuthServiceClient 方法) get_searchable_attributes() (mlflow.entities.RunInfo类方法) get_serving_input() (mlflow.models.Model 方法) get_source() (mlflow.data 模块中) get_status() (mlflow.projects.SubmittedRun 方法) get_stream_function() (mlflow.genai.agent_server 模块中) get_tags_dict() (mlflow.models.Model 方法) get_trace() (mlflow 模块中) (mlflow.client.MlflowClient 方法) get_tracking_uri() (mlflow 模块中) (模块 mlflow.config 中) get_underlying_model_flavor() (mlflow.shap 模块中) get_user() (mlflow.server.auth.client.AuthServiceClient 方法) get_webhook() (mlflow.client.MlflowClient 方法) GoalAccuracy (mlflow.genai.scorers.deepeval 类) greater_is_better (mlflow.models.MetricThreshold 属性) GUARDRAIL (mlflow.entities.SpanType 属性) Guidelines (mlflow.genai.scorers 类) guidelines (mlflow.genai.scorers.Guidelines 属性)

H

Hallucination (mlflow.genai.scorers.deepeval 类) has_input_names() (mlflow.types.Schema 方法) has_predictions (mlflow.data.evaluation_dataset.EvaluationDataset 属性) has_records() (mlflow.genai.datasets.EvaluationDataset 方法) has_targets (mlflow.data.evaluation_dataset.EvaluationDataset 属性) hash (mlflow.data.evaluation_dataset.EvaluationDataset 属性) hf_server_url (mlflow.gateway.config.HuggingFaceTextGenerationInferenceConfig 属性)

HTTPDatasetSource (mlflow.data.http_dataset_source 类) HUGGINGFACE_TEXT_GENERATION_INFERENCE (mlflow.gateway.config.Provider 属性) HuggingFaceDataset (mlflow.data.huggingface_dataset 类) HuggingFaceDatasetSource (mlflow.data.huggingface_dataset_source 类) HuggingFaceTextGenerationInferenceConfig (mlflow.gateway.config 类) HUMAN (mlflow.entities.AssessmentSourceType 属性) (mlflow.entities.DatasetRecordSourceType 属性)

I

id (mlflow.entities.Document 属性) (mlflow.server.auth.entities.User 属性) Image (mlflow 类) ImageContentPart (mlflow.types.chat 类) ImageUrl (mlflow.types.chat 类) IN_PROGRESS (mlflow.entities.TraceState 属性) IncompleteDetails (mlflow.types.responses_helpers 类) infer_pip_requirements() (mlflow.models 模块中) infer_signature() (mlflow.models 模块中) inference_table (mlflow.entities.TraceLocation 属性) INFERENCE_TABLE (mlflow.entities.TraceLocationType 属性) InferenceTableLocation (mlflow.entities 类) info (mlflow.entities.Run 属性) (mlflow.entities.Trace 属性) initial_eval_score (mlflow.genai.optimize.PromptOptimizationResult 属性) (mlflow.genai.optimize.PromptOptimizerOutput 属性) initialize_logged_model() (mlflow 模块中) input (mlflow.genai.label_schemas.LabelSchema 属性) input_dict() (mlflow.types.Schema 方法) input_example (mlflow.pyfunc.PyFuncModel 属性) input_names() (mlflow.types.Schema 方法) input_types() (mlflow.types.Schema 方法) input_types_dict() (mlflow.types.Schema 方法) InputAudio (mlflow.types.chat 类) InputCategorical (mlflow.genai.label_schemas 类) InputCategoricalList (mlflow.genai.label_schemas 类) InputNumeric (mlflow.genai.label_schemas 类) inputs (mlflow.entities.DatasetRecord 属性) (mlflow.entities.Run 属性) (mlflow.entities.Span 属性) (mlflow.types.Schema 属性) InputTag (mlflow.entities 类) InputText (mlflow.genai.label_schemas 类) InputTextList (mlflow.genai.label_schemas 类) InputTokensDetails (mlflow.types.responses_helpers 类) InstanceRubrics (mlflow.genai.scorers.ragas 类) instruction (mlflow.genai.label_schemas.LabelSchema 属性) instructions (mlflow.genai.judges.Judge 属性) (mlflow.genai.scorers.Completeness 属性) (mlflow.genai.scorers.ConversationalRoleAdherence 属性) (mlflow.genai.scorers.ConversationalSafety 属性) (mlflow.genai.scorers.ConversationalToolCallEfficiency 属性) (mlflow.genai.scorers.ConversationCompleteness 属性) (mlflow.genai.scorers.Correctness 属性) (mlflow.genai.scorers.Equivalence 属性) (mlflow.genai.scorers.ExpectationsGuidelines 属性) (mlflow.genai.scorers.Guidelines 属性) (mlflow.genai.scorers.RelevanceToQuery 属性) (mlflow.genai.scorers.RetrievalGroundedness 属性) (mlflow.genai.scorers.RetrievalRelevance 属性) (mlflow.genai.scorers.RetrievalSufficiency 属性) (mlflow.genai.scorers.Safety 属性) (mlflow.genai.scorers.Summarization 属性) (mlflow.genai.scorers.ToolCallEfficiency 属性) (mlflow.genai.scorers.UserFrustration 属性)

integer (mlflow.types.DataType 属性) intermediate_outputs (mlflow.entities.TraceData 属性) invalid_parameter_value() (mlflow.MlflowException 类方法) InvalidUrlException invoke() (mlflow.genai.agent_server 模块中) is_active() (mlflow.entities.WebhookStatus 方法) is_admin (mlflow.server.auth.entities.User 属性) is_context_relevant() (mlflow.genai.judges 模块中) is_context_sufficient() (mlflow.genai.judges 模块中) is_correct() (mlflow.genai.judges 模块中) is_dir (mlflow.entities.FileInfo 属性) is_finalized() (mlflow.entities.LoggedModelStatus 静态方法) is_gpu_available() (mlflow.transformers 模块中) is_grounded() (mlflow.genai.judges 模块中) is_safe() (mlflow.genai.judges 模块中) is_session_level_scorer (mlflow.genai.Scorer 属性) is_tensor_spec() (mlflow.types.Schema 方法) is_terminated() (mlflow.entities.RunStatus 静态方法) is_text_prompt (mlflow.entities.model_registry.PromptVersion 属性) is_tool_call_efficient() (mlflow.genai.judges 模块中) is_tracking_uri_set() (mlflow 模块中) (模块 mlflow.config 中) is_valid() (mlflow.entities.LifecycleStage 类方法)

J

JOB (mlflow.entities.SourceType 属性) job_id (mlflow.entities.model_registry.ModelVersionDeploymentJobState 属性) job_state (mlflow.entities.model_registry.ModelVersionDeploymentJobState 属性)

json() (mlflow.entities.SpanEvent 方法) JsonCorrectness (mlflow.genai.scorers.deepeval 类) Judge (mlflow.genai.judges 类)

K

KerasModelWrapper (mlflow.keras.load 类) KEY mlflow-ai-commands-get 命令行选项 mlflow-ai-commands-run 命令行选项 key (mlflow.entities.ExperimentTag 属性) (mlflow.entities.GatewayEndpointTag 属性) (mlflow.entities.InputTag 属性) (mlflow.entities.LoggedModelParameter 属性) (mlflow.entities.LoggedModelTag 属性) (mlflow.entities.Metric 属性) (mlflow.entities.model_registry.ModelVersionTag 属性) (mlflow.entities.model_registry.RegisteredModelTag 属性) (mlflow.entities.Param 属性) (mlflow.entities.RunTag 属性) (mlflow.gateway.config.Limit 属性) (mlflow.webhooks.ModelVersionTagDeletedPayload 属性) (mlflow.webhooks.ModelVersionTagSetPayload 属性) (mlflow.webhooks.PromptTagDeletedPayload 属性) (mlflow.webhooks.PromptTagSetPayload 属性) (mlflow.webhooks.PromptVersionTagDeletedPayload 属性) (mlflow.webhooks.PromptVersionTagSetPayload 属性)

keys() (mlflow.types.llm.ChatParams类方法) KILLED (mlflow.entities.RunStatus 属性) kind (mlflow.genai.judges.Judge 属性) (mlflow.genai.Scorer 属性) (mlflow.genai.scorers.Guidelines 属性) KnowledgeRetention (mlflow.genai.scorers.deepeval 类)

L

label_schemas (mlflow.genai.LabelingSession 属性) (mlflow.genai.ReviewApp 属性) labeling_session_id (mlflow.genai.LabelingSession 属性) LabelingSession (mlflow.genai 类) labels_data (mlflow.data.evaluation_dataset.EvaluationDataset 属性) LabelSchema (mlflow.genai.label_schemas 类) LabelSchemaType (mlflow.genai.label_schemas 类) LAKEBASE (mlflow.models.ResourceType 属性) last_active_run() (mlflow 模块中) last_logged_model() (mlflow 模块中) last_update_time (mlflow.entities.DatasetRecord 属性) (mlflow.entities.Experiment 属性) last_update_time_ms (mlflow.entities.Assessment 属性) last_updated_at (mlflow.entities.GatewayEndpoint 属性) (mlflow.entities.GatewayEndpointBinding 属性) (mlflow.entities.GatewayModelDefinition 属性) (mlflow.entities.GatewaySecretInfo 属性) last_updated_by (mlflow.entities.DatasetRecord 属性) (mlflow.entities.GatewayEndpoint 属性) (mlflow.entities.GatewayEndpointBinding 属性) (mlflow.entities.GatewayModelDefinition 属性) (mlflow.entities.GatewaySecretInfo 属性) last_updated_timestamp (mlflow.entities.LoggedModel 属性) (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.entities.model_registry.RegisteredModel 属性) (mlflow.entities.Webhook 属性) latency() (mlflow.metrics 模块中) latest_versions (mlflow.entities.model_registry.RegisteredModel 属性) lifecycle_stage (mlflow.entities.Experiment 属性) (mlflow.entities.RunInfo 属性) LifecycleStage (mlflow.entities 类) Limit (mlflow.gateway.config 类) limit (mlflow.gateway.config.EndpointConfig 属性) limits (mlflow.gateway.config.LimitsConfig 属性) LimitsConfig (mlflow.gateway.config 类) link_prompt_version_to_model() (mlflow.client.MlflowClient 方法) link_prompt_version_to_run() (mlflow.client.MlflowClient 方法) link_prompt_versions_to_trace() (mlflow.client.MlflowClient 方法) link_traces_to_run() (mlflow.client.MlflowClient 方法) list_artifacts() (mlflow.artifacts 模块中) (mlflow.client.MlflowClient 方法) list_deployments() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) list_endpoints() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) list_evaluators() (mlflow.models 模块中) list_logged_model_artifacts() (mlflow.client.MlflowClient 方法) list_logged_prompts() (mlflow.client.MlflowClient 方法) list_scorers() (mlflow.genai.scorers 模块中) list_webhooks() (mlflow.client.MlflowClient 方法) LiveSpan (mlflow.entities 类) LLM (mlflow.entities.SpanType 属性) LLM_JUDGE (mlflow.entities.AssessmentSourceType 属性) LLM_V1_CHAT (mlflow.gateway.config.EndpointType 属性) LLM_V1_COMPLETIONS (mlflow.gateway.config.EndpointType 属性) LLM_V1_EMBEDDINGS (mlflow.gateway.config.EndpointType 属性) LLMParams (mlflow.genai.optimize 类) load() (mlflow.data.dataset_source.DatasetSource 方法) (mlflow.data.delta_dataset_source.DeltaDatasetSource 方法) (mlflow.data.filesystem_dataset_source.FileSystemDatasetSource 方法) (mlflow.data.http_dataset_source.HTTPDatasetSource 方法) (mlflow.data.huggingface_dataset_source.HuggingFaceDatasetSource 方法) (mlflow.data.spark_dataset_source.SparkDatasetSource 方法) (mlflow.models.EvaluationResult类方法) (mlflow.models.Model类方法) load_checkpoint() (mlflow.pytorch 模块中) (模块 mlflow.tensorflow 中) load_context() (mlflow.pyfunc.PythonModel 方法) load_delta() (mlflow.data 模块中) load_dict() (mlflow.artifacts 模块中) load_explainer() (mlflow.shap 模块中) load_image() (mlflow.artifacts 模块中) load_input_example() (mlflow.models.Model 方法) load_input_example_params() (mlflow.models.Model 方法) load_model() (mlflow.catboost 模块中) (模块 mlflow.dspy 中) (mlflow.h2o 模块中) (mlflow.johnsnowlabs 模块中) (mlflow.keras.load 模块中) (模块 mlflow.langchain 中) (模块 mlflow.lightgbm 中) (模块 mlflow.llama_index 中) (mlflow.onnx 模块中) (模块 mlflow.openai 中) (模块 mlflow.paddle 中) (mlflow.pmdarima 模块中) (mlflow.prophet 模块中) (mlflow.pyfunc 模块中) (模块 mlflow.pytorch 中) (mlflow.sentence_transformers 模块中) (模块 mlflow.sklearn 中) (mlflow.spacy 模块中) (模块 mlflow.spark 中) (模块 mlflow.statsmodels 中) (模块 mlflow.tensorflow 中) (模块 mlflow.transformers 中) (模块 mlflow.xgboost 中)

load_prompt() (mlflow.genai 模块中) (mlflow.client.MlflowClient 方法) load_pyfunc() (mlflow.pyfunc 模块中) load_table() (mlflow 模块中) (mlflow.client.MlflowClient 方法) load_text() (mlflow.artifacts 模块中) loader_module (mlflow.pyfunc.PyFuncModel 属性) LOCAL (mlflow.entities.SourceType 属性) log() (mlflow.models.Model类方法) log_artifact() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_artifacts() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_assessment() (mlflow 模块中) log_batch() (mlflow.client.MlflowClient 方法) log_dict() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_expectation() (mlflow 模块中) log_explainer() (mlflow.shap 模块中) log_explanation() (mlflow.shap 模块中) log_feedback() (mlflow 模块中) log_figure() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_image() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_input() (mlflow 模块中) log_inputs() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_metric() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_metrics() (mlflow 模块中) log_model() (mlflow.catboost 模块中) (模块 mlflow.dspy 中) (mlflow.h2o 模块中) (mlflow.johnsnowlabs 模块中) (mlflow.keras.save 模块中) (模块 mlflow.langchain 中) (模块 mlflow.lightgbm 中) (模块 mlflow.llama_index 中) (mlflow.onnx 模块中) (模块 mlflow.openai 中) (模块 mlflow.paddle 中) (mlflow.pmdarima 模块中) (mlflow.prophet 模块中) (mlflow.pyfunc 模块中) (模块 mlflow.pytorch 中) (mlflow.sentence_transformers 模块中) (模块 mlflow.sklearn 中) (mlflow.spacy 模块中) (模块 mlflow.spark 中) (模块 mlflow.statsmodels 中) (模块 mlflow.tensorflow 中) (模块 mlflow.transformers 中) (模块 mlflow.xgboost 中) log_model_artifact() (mlflow.client.MlflowClient 方法) log_model_artifacts() (mlflow.client.MlflowClient 方法) log_model_params() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_outputs() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_param() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_params() (mlflow 模块中) log_table() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_text() (mlflow 模块中) (mlflow.client.MlflowClient 方法) log_trace() (mlflow 模块中) LoggedModel (mlflow.entities 类) LoggedModelInput (mlflow.entities 类) LoggedModelOutput (mlflow.entities 类) LoggedModelParameter (mlflow.entities 类) LoggedModelStatus (mlflow.entities 类) LoggedModelTag (mlflow.entities 类) login() (mlflow 模块中) long (mlflow.types.DataType 属性)

M

mae() (mlflow.metrics 模块中) make_genai_metric() (mlflow.metrics.genai 模块中) make_genai_metric_from_prompt() (mlflow.metrics.genai 模块中) make_judge() (mlflow.genai 模块中) (mlflow.genai.judges 模块中) make_metric() (mlflow.metrics 模块中) (模块 mlflow.models 中) Map (mlflow.types.schema 类) mape() (mlflow.metrics 模块中) mapping_id (mlflow.entities.GatewayEndpointModelMapping 属性) masked_values (mlflow.entities.GatewaySecretInfo 属性) matches_view_type() (mlflow.entities.LifecycleStage类方法) max_count (mlflow.genai.label_schemas.InputTextList 属性) max_error() (mlflow.metrics 模块中) max_few_shot_examples (mlflow.genai.optimize.OptimizerConfig 属性) max_length (mlflow.genai.label_schemas.InputText 属性) max_length_each (mlflow.genai.label_schemas.InputTextList 属性) max_tokens (mlflow.entities.model_registry.PromptModelConfig 属性) max_value (mlflow.genai.label_schemas.InputNumeric 属性) McpApprovalRequest (mlflow.types.responses_helpers 类) McpApprovalResponse (mlflow.types.responses_helpers 类) meets_guidelines() (mlflow.genai.judges 模块中) MEMORY (mlflow.entities.SpanType 属性) merge_records() (mlflow.genai.datasets.EvaluationDataset 方法) Message (mlflow.types.responses_helpers 类) metadata (mlflow.entities.Assessment 属性) (mlflow.entities.Document 属性) (mlflow.models.Model 属性) (mlflow.models.model.ModelInfo 属性) (mlflow.pyfunc.PyFuncModel 属性) Metric (mlflow.entities 类) metric_name (mlflow.genai.scorers.deepeval.AnswerRelevancy 属性) (mlflow.genai.scorers.deepeval.ArgumentCorrectness 属性) (mlflow.genai.scorers.deepeval.Bias 属性) (mlflow.genai.scorers.deepeval.ContextualPrecision 属性) (mlflow.genai.scorers.deepeval.ContextualRecall 属性) (mlflow.genai.scorers.deepeval.ContextualRelevancy 属性) (mlflow.genai.scorers.deepeval.ConversationCompleteness 属性) (mlflow.genai.scorers.deepeval.ExactMatch 属性) (mlflow.genai.scorers.deepeval.Faithfulness 属性) (mlflow.genai.scorers.deepeval.GoalAccuracy 属性) (mlflow.genai.scorers.deepeval.Hallucination 属性) (mlflow.genai.scorers.deepeval.JsonCorrectness 属性) (mlflow.genai.scorers.deepeval.KnowledgeRetention 属性) (mlflow.genai.scorers.deepeval.Misuse 属性) (mlflow.genai.scorers.deepeval.NonAdvice 属性) (mlflow.genai.scorers.deepeval.PatternMatch 属性) (mlflow.genai.scorers.deepeval.PIILeakage 属性) (mlflow.genai.scorers.deepeval.PlanAdherence 属性) (mlflow.genai.scorers.deepeval.PlanQuality 属性) (mlflow.genai.scorers.deepeval.PromptAlignment 属性) (mlflow.genai.scorers.deepeval.RoleAdherence 属性) (mlflow.genai.scorers.deepeval.RoleViolation 属性) (mlflow.genai.scorers.deepeval.StepEfficiency 属性) (mlflow.genai.scorers.deepeval.Summarization 属性) (mlflow.genai.scorers.deepeval.TaskCompletion 属性) (mlflow.genai.scorers.deepeval.ToolCorrectness 属性) (mlflow.genai.scorers.deepeval.ToolUse 属性) (mlflow.genai.scorers.deepeval.TopicAdherence 属性) (mlflow.genai.scorers.deepeval.Toxicity 属性) (mlflow.genai.scorers.deepeval.TurnRelevancy 属性) (mlflow.genai.scorers.ragas.AspectCritic 属性) (mlflow.genai.scorers.ragas.BleuScore 属性) (mlflow.genai.scorers.ragas.ChrfScore 属性) (mlflow.genai.scorers.ragas.ContextEntityRecall 属性) (mlflow.genai.scorers.ragas.ContextPrecision 属性) (mlflow.genai.scorers.ragas.ContextRecall 属性) (mlflow.genai.scorers.ragas.ExactMatch 属性) (mlflow.genai.scorers.ragas.FactualCorrectness 属性) (mlflow.genai.scorers.ragas.Faithfulness 属性) (mlflow.genai.scorers.ragas.InstanceRubrics 属性) (mlflow.genai.scorers.ragas.NoiseSensitivity 属性) (mlflow.genai.scorers.ragas.NonLLMContextPrecisionWithReference 属性) (mlflow.genai.scorers.ragas.NonLLMContextRecall 属性) (mlflow.genai.scorers.ragas.NonLLMStringSimilarity 属性) (mlflow.genai.scorers.ragas.RougeScore 属性) (mlflow.genai.scorers.ragas.RubricsScore 属性) (mlflow.genai.scorers.ragas.StringPresence 属性) (mlflow.genai.scorers.ragas.SummarizationScore 属性) metrics (mlflow.entities.LoggedModel 属性) (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.RunData 属性) (mlflow.models.EvaluationResult 属性) (mlflow.models.model.ModelInfo 属性) MetricThreshold (mlflow.models 类) MetricValue (mlflow.metrics 类) min_absolute_change (mlflow.models.MetricThreshold 属性) min_relative_change (mlflow.models.MetricThreshold 属性) min_value (mlflow.genai.label_schemas.InputNumeric 属性) MissingConfigException MISTRAL (mlflow.gateway.config.Provider 属性) mistral_api_key (mlflow.gateway.config.MistralConfig 属性) MistralConfig (mlflow.gateway.config 类) Misuse (mlflow.genai.scorers.deepeval 类) mlflow module mlflow 命令行选项 --env-file <env_file> --version mlflow-ai-commands-get 命令行选项 KEY mlflow-ai-commands-list 命令行选项 --namespace <namespace> mlflow-ai-commands-run 命令行选项 KEY mlflow-artifacts-download 命令行选项 --artifact-path <artifact_path> --artifact-uri <artifact_uri> --dst-path <dst_path> --run-id <run_id> -a -d -r -u mlflow-artifacts-list 命令行选项 --artifact-path <artifact_path> --run-id <run_id> -a -r mlflow-artifacts-log-artifact 命令行选项 --artifact-path <artifact_path> --local-file <local_file> --run-id <run_id> -a -l -r mlflow-artifacts-log-artifacts 命令行选项 --artifact-path <artifact_path> --local-dir <local_dir> --run-id <run_id> -a -l -r mlflow-autolog-claude 命令行选项 --disable --experiment-id <experiment_id> --experiment-name <experiment_name> --status --tracking-uri <tracking_uri> -e -n -u DIRECTORY mlflow-crypto-rotate-kek 命令行选项 --backend-store-uri <backend_store_uri> --new-passphrase <new_passphrase> --yes -y mlflow-db-upgrade 命令行选项 URL mlflow-deployments-create 命令行选项 --config <NAME=VALUE> --endpoint <endpoint> --flavor <flavor> --model-uri <URI> --name <name> --target <target> -C -f -m -t mlflow-deployments-create-endpoint 命令行选项 --config <NAME=VALUE> --endpoint <endpoint> --target <target> -C -t mlflow-deployments-delete 命令行选项 --config <NAME=VALUE> --endpoint <endpoint> --name <name> --target <target> -C -t mlflow-deployments-delete-endpoint 命令行选项 --endpoint <endpoint> --target <target> -t mlflow-deployments-explain 命令行选项 --endpoint <endpoint> --input-path <input_path> --name <name> --output-path <output_path> --target <target> -I -O -t mlflow-deployments-get 命令行选项 --endpoint <endpoint> --name <name> --target <target> -t mlflow-deployments-get-endpoint 命令行选项 --endpoint <endpoint> --target <target> -t mlflow-deployments-help 命令行选项 --target <target> -t mlflow-deployments-list 命令行选项 --endpoint <endpoint> --target <target> -t mlflow-deployments-list-endpoints 命令行选项 --target <target> -t mlflow-deployments-predict 命令行选项 --endpoint <endpoint> --input-path <input_path> --name <name> --output-path <output_path> --target <target> -I -O -t mlflow-deployments-run-local 命令行选项 --config <NAME=VALUE> --flavor <flavor> --model-uri <URI> --name <name> --target <target> -C -f -m -t mlflow-deployments-update 命令行选项 --config <NAME=VALUE> --endpoint <endpoint> --flavor <flavor> --model-uri <URI> --name <name> --target <target> -C -f -m -t mlflow-deployments-update-endpoint 命令行选项 --config <NAME=VALUE> --endpoint <endpoint> --target <target> -C -t mlflow-doctor 命令行选项 --mask-envs mlflow-experiments-create 命令行选项 --artifact-location <artifact_location> --experiment-name <experiment_name> -l -n mlflow-experiments-csv 命令行选项 --experiment-id <experiment_id> --filename <filename> -o -x mlflow-experiments-delete 命令行选项 --experiment-id <experiment_id> -x mlflow-experiments-get 命令行选项 --experiment-id <experiment_id> --output <output> -x mlflow-experiments-rename 命令行选项 --experiment-id <experiment_id> --new-name <new_name> -x mlflow-experiments-restore 命令行选项 --experiment-id <experiment_id> -x mlflow-experiments-search 命令行选项 --max-results <max_results> --view <view> -v mlflow-gateway-start 命令行选项 --config-path <config_path> --host <host> --port <port> --workers <workers> mlflow-gc 命令行选项 --artifacts-destination <URI> --backend-store-uri <PATH> --experiment-ids <experiment_ids> --logged-model-ids <logged_model_ids> --older-than <older_than> --run-ids <run_ids> --tracking-uri <tracking_uri> mlflow-models-build-docker 命令行选项 --enable-mlserver --env-manager <env_manager> --install-java <install_java> --install-mlflow --mlflow-home <PATH> --model-uri <URI> --name <name> -m -n mlflow-models-generate-dockerfile 命令行选项 --enable-mlserver --env-manager <env_manager> --install-java <install_java> --install-mlflow --mlflow-home <PATH> --model-uri <URI> --output-directory <output_directory> -d -m mlflow-models-predict 命令行选项 --content-type <content_type> --env <env> --env-manager <env_manager> --input-path <input_path> --install-mlflow --model-uri <URI> --output-path <output_path> --pip-requirements-override <pip_requirements_override> -i -m -o -r -t mlflow-models-prepare-env 命令行选项 --env-manager <env_manager> --install-mlflow --model-uri <URI> -m mlflow-models-serve 命令行选项 --enable-mlserver --env-manager <env_manager> --host <HOST> --install-mlflow --model-uri <URI> --no-conda --port <port> --timeout <timeout> --workers <workers> -h -m -p -t -w mlflow-models-update-pip-requirements 命令行选项 --model-uri <URI> -m OPERATION REQUIREMENT_STRINGS mlflow-run 命令行选项 --backend <BACKEND> --backend-config <FILE> --build-image --docker-args <NAME=VALUE> --entry-point <NAME> --env-manager <env_manager> --experiment-id <experiment_id> --experiment-name <experiment_name> --param-list <NAME=VALUE> --run-id <RUN_ID> --run-name <RUN_NAME> --storage-dir <storage_dir> --version <VERSION> -A -b -c -e -P -v URI mlflow-runs-create 命令行选项 --description <description> --experiment-id <experiment_id> --experiment-name <experiment_name> --parent-run-id <parent_run_id> --run-name <run_name> --status <status> --tags <tags> -t mlflow-runs-delete 命令行选项 --run-id <run_id> mlflow-runs-describe 命令行选项 --run-id <run_id> mlflow-runs-link-traces 命令行选项 --run-id <run_id> --trace-id <trace_ids> -t mlflow-runs-list 命令行选项 --experiment-id <experiment_id> --view <view> -v mlflow-runs-restore 命令行选项 --run-id <run_id> mlflow-sagemaker-build-and-push-container 命令行选项 --build --container <container> --env-manager <env_manager> --install-java <install_java> --mlflow-home <PATH> --no-build --no-push --push -c mlflow-sagemaker-deploy-transform-job 命令行选项 --accept <accept> --archive --assemble-with <assemble_with> --async --bucket <bucket> --compression-type <compression_type> --content-type <content_type> --execution-role-arn <execution_role_arn> --flavor <flavor> --image-url <image_url> --input-data-type <input_data_type> --input-filter <input_filter> --input-uri <input_uri> --instance-count <instance_count> --instance-type <instance_type> --job-name <job_name> --join-resource <join_resource> --model-uri <URI> --output-filter <output_filter> --output-path <output_path> --region-name <region_name> --split-type <split_type> --timeout <timeout> --vpc-config <vpc_config> -a -b -c -e -f -i -j -m -n -o -s -t -u -v mlflow-sagemaker-push-model 命令行选项 --bucket <bucket> --execution-role-arn <execution_role_arn> --flavor <flavor> --image-url <image_url> --model-name <model_name> --model-uri <URI> --region-name <region_name> --vpc-config <vpc_config> -b -e -f -i -m -n -v mlflow-sagemaker-terminate-transform-job 命令行选项 --archive --async --job-name <job_name> --region-name <region_name> --timeout <timeout> -n -r mlflow-scorers-list 命令行选项 --builtin --experiment-id <experiment_id> --output <output> -b -x mlflow-scorers-register-llm-judge 命令行选项 --description <description> --experiment-id <experiment_id> --instructions <instructions> --model <model> --name <name> -d -i -m -n -x mlflow-server 命令行选项 --allowed-hosts <allowed_hosts> --app-name <app_name> --artifacts-destination <URI> --artifacts-only --backend-store-uri <PATH> --cors-allowed-origins <cors_allowed_origins> --default-artifact-root <URI> --dev --disable-security-middleware --expose-prometheus <expose_prometheus> --gunicorn-opts <gunicorn_opts> --host <HOST> --no-serve-artifacts --port <port> --registry-store-uri <URI> --secrets-cache-max-size <secrets_cache_max_size> --secrets-cache-ttl <secrets_cache_ttl> --serve-artifacts --static-prefix <static_prefix> --uvicorn-opts <uvicorn_opts> --waitress-opts <waitress_opts> --workers <workers> --x-frame-options <x_frame_options> -h -p -w mlflow-traces-delete 命令行选项 --experiment-id <experiment_id> --max-timestamp-millis <max_timestamp_millis> --max-traces <max_traces> --trace-ids <trace_ids> -x mlflow-traces-delete-assessment 命令行选项 --assessment-id <assessment_id> --trace-id <trace_id> mlflow-traces-delete-tag 命令行选项 --key <key> --trace-id <trace_id> mlflow-traces-evaluate 命令行选项 --experiment-id <experiment_id> --output <output_format> --scorers <scorers> --trace-ids <trace_ids> -x mlflow-traces-get 命令行选项 --extract-fields <extract_fields> --trace-id <trace_id> --verbose mlflow-traces-get-assessment 命令行选项 --assessment-id <assessment_id> --trace-id <trace_id> mlflow-traces-log-expectation 命令行选项 --metadata <metadata> --name <name> --source-id <source_id> --source-type <source_type> --span-id <span_id> --trace-id <trace_id> --value <value> mlflow-traces-log-feedback 命令行选项 --metadata <metadata> --name <name> --rationale <rationale> --source-id <source_id> --source-type <source_type> --span-id <span_id> --trace-id <trace_id> --value <value> mlflow-traces-search 命令行选项 --experiment-id <experiment_id> --extract-fields <extract_fields> --filter-string <filter_string> --include-spans --max-results <max_results> --model-id <model_id> --no-include-spans --order-by <order_by> --output <output> --page-token <page_token> --run-id <run_id> --sql-warehouse-id <sql_warehouse_id> --verbose -x mlflow-traces-set-tag 命令行选项 --key <key> --trace-id <trace_id> --value <value> mlflow-traces-update-assessment 命令行选项 --assessment-id <assessment_id> --metadata <metadata> --rationale <rationale> --trace-id <trace_id> --value <value> mlflow.ag2 module mlflow.agno module mlflow.anthropic module mlflow.artifacts module mlflow.autogen module mlflow.bedrock module mlflow.catboost module mlflow.client module mlflow.config module mlflow.crewai module mlflow.deployments module mlflow.dspy module mlflow.entities module mlflow.entities.model_registry module mlflow.environment_variables module mlflow.exceptions module mlflow.exceptions.MlflowException mlflow.gateway module

mlflow.gateway.base_models module mlflow.gateway.config module mlflow.gemini module mlflow.genai module mlflow.genai.agent_server module mlflow.genai.datasets module mlflow.genai.judges module mlflow.genai.label_schemas module mlflow.genai.optimize module mlflow.genai.scorers module mlflow.genai.scorers.deepeval module mlflow.genai.scorers.ragas module mlflow.groq module mlflow.h2o module mlflow.haystack module mlflow.johnsnowlabs module mlflow.keras.autolog module mlflow.keras.callback module mlflow.keras.load module mlflow.keras.save module mlflow.langchain module mlflow.lightgbm module mlflow.litellm module mlflow.llama_index module mlflow.metrics module mlflow.metrics.genai module mlflow.mistral module mlflow.models module mlflow.onnx module mlflow.openai module mlflow.paddle module mlflow.pmdarima module mlflow.projects module mlflow.prophet module mlflow.pydantic_ai module mlflow.pyfunc module mlflow.pyspark.ml module mlflow.pytorch module mlflow.sagemaker module mlflow.sentence_transformers module mlflow.server module mlflow.server.auth.entities module mlflow.shap module mlflow.sklearn module mlflow.smolagents module mlflow.spacy module mlflow.spark module mlflow.statsmodels module mlflow.store.entities module mlflow.strands module mlflow.system_metrics module mlflow.tensorflow module mlflow.tracing module mlflow.transformers module mlflow.types module mlflow.types.agent module mlflow.types.chat module mlflow.types.llm module mlflow.types.llm._BaseDataclass module mlflow.types.responses module mlflow.types.responses_helpers module mlflow.types.schema module mlflow.utils.async_logging module mlflow.utils.async_logging.run_operations module mlflow.webhooks module mlflow.xgboost module MLFLOW_ACTIVE_MODEL_ID (mlflow.environment_variables 模块中) MLFLOW_ALIAS_PROMPT_CACHE_TTL_SECONDS (mlflow.environment_variables 模块中) MLFLOW_ALLOW_HTTP_REDIRECTS (mlflow.environment_variables 模块中) MLFLOW_ARTIFACT_LOCATION_MAX_LENGTH (mlflow.environment_variables 模块中) MLFLOW_ARTIFACT_UPLOAD_DOWNLOAD_TIMEOUT (mlflow.environment_variables 模块中) MLFLOW_ASYNC_LOGGING_BUFFERING_SECONDS (mlflow.environment_variables 模块中) MLFLOW_ASYNC_LOGGING_THREADPOOL_SIZE (mlflow.environment_variables 模块中) MLFLOW_ASYNC_TRACE_LOGGING_MAX_INTERVAL_MILLIS (mlflow.environment_variables 模块中) MLFLOW_ASYNC_TRACE_LOGGING_MAX_QUEUE_SIZE (mlflow.environment_variables 模块中) MLFLOW_ASYNC_TRACE_LOGGING_MAX_SPAN_BATCH_SIZE (mlflow.environment_variables 模块中) MLFLOW_ASYNC_TRACE_LOGGING_MAX_WORKERS (mlflow.environment_variables 模块中) MLFLOW_ASYNC_TRACE_LOGGING_RETRY_TIMEOUT (mlflow.environment_variables 模块中) MLFLOW_AUTH_CONFIG_PATH (mlflow.environment_variables 模块中) MLFLOW_CONDA_CREATE_ENV_CMD (mlflow.environment_variables 模块中) MLFLOW_CONDA_HOME (mlflow.environment_variables 模块中) MLFLOW_CONFIGURE_LOGGING (mlflow.environment_variables 模块中) MLFLOW_CREATE_MODEL_VERSION_SOURCE_VALIDATION_REGEX (mlflow.environment_variables 模块中) MLFLOW_DATABRICKS_ENDPOINT_HTTP_RETRY_TIMEOUT (mlflow.environment_variables 模块中) MLFLOW_DEFAULT_PREDICTION_DEVICE (mlflow.environment_variables 模块中) MLFLOW_DEPLOYMENT_CLIENT_HTTP_REQUEST_TIMEOUT (mlflow.environment_variables 模块中) MLFLOW_DEPLOYMENT_FLAVOR_NAME (mlflow.environment_variables 模块中) MLFLOW_DEPLOYMENT_PREDICT_TIMEOUT (mlflow.environment_variables 模块中) MLFLOW_DEPLOYMENT_PREDICT_TOTAL_TIMEOUT (mlflow.environment_variables 模块中) MLFLOW_DEPLOYMENTS_CONFIG (mlflow.environment_variables 模块中) MLFLOW_DEPLOYMENTS_TARGET (mlflow.environment_variables 模块中) MLFLOW_DFS_TMP (mlflow.environment_variables 模块中) MLFLOW_DISABLE_DATABRICKS_SDK_FOR_RUN_ARTIFACTS (mlflow.environment_variables 模块中) MLFLOW_DISABLE_ENV_CREATION (mlflow.environment_variables 模块中) MLFLOW_DISABLE_ENV_MANAGER_CONDA_WARNING (mlflow.environment_variables 模块中) MLFLOW_DISABLE_SCHEMA_DETAILS (mlflow.environment_variables 模块中) MLFLOW_DISABLE_TELEMETRY (mlflow.environment_variables 模块中) MLFLOW_DOCKER_OPENJDK_VERSION (mlflow.environment_variables 模块中) MLFLOW_DOWNLOAD_CHUNK_TIMEOUT (mlflow.environment_variables 模块中) MLFLOW_ENABLE_ARTIFACTS_PROGRESS_BAR (mlflow.environment_variables 模块中) MLFLOW_ENABLE_ASYNC_LOGGING (mlflow.environment_variables 模块中) MLFLOW_ENABLE_ASYNC_TRACE_LOGGING (mlflow.environment_variables 模块中) MLFLOW_ENABLE_DB_SDK (mlflow.environment_variables 模块中) MLFLOW_ENABLE_DBFS_FUSE_ARTIFACT_REPO (mlflow.environment_variables 模块中) MLFLOW_ENABLE_OTLP_EXPORTER (mlflow.environment_variables 模块中) MLFLOW_ENABLE_PROXY_MULTIPART_UPLOAD (mlflow.environment_variables 模块中) MLFLOW_ENABLE_SYSTEM_METRICS_LOGGING (mlflow.environment_variables 模块中) MLFLOW_ENABLE_UC_FUNCTIONS (mlflow.environment_variables 模块中) MLFLOW_ENABLE_UC_VOLUME_FUSE_ARTIFACT_REPO (mlflow.environment_variables 模块中) MLFLOW_ENFORCE_STDIN_SCORING_SERVER_FOR_SPARK_UDF (mlflow.environment_variables 模块中) MLFLOW_ENV_ROOT (mlflow.environment_variables 模块中) mlflow_experiment (mlflow.entities.TraceLocation 属性) MLFLOW_EXPERIMENT (mlflow.entities.TraceLocationType 属性) MLFLOW_EXPERIMENT_ID (in module mlflow.environment_variables) MLFLOW_EXPERIMENT_NAME (in module mlflow.environment_variables) MLFLOW_FLASK_SERVER_SECRET_KEY (in module mlflow.environment_variables) MLFLOW_GATEWAY_CONFIG (in module mlflow.environment_variables) MLFLOW_GATEWAY_URI (in module mlflow.environment_variables) MLFLOW_GCS_DOWNLOAD_CHUNK_SIZE (in module mlflow.environment_variables) MLFLOW_GCS_UPLOAD_CHUNK_SIZE (in module mlflow.environment_variables) MLFLOW_GENAI_EVAL_ASYNC_TIMEOUT (in module mlflow.environment_variables) MLFLOW_GENAI_EVAL_ENABLE_SCORER_TRACING (in module mlflow.environment_variables) MLFLOW_GENAI_EVAL_MAX_SCORER_WORKERS (in module mlflow.environment_variables) MLFLOW_GENAI_EVAL_MAX_WORKERS (in module mlflow.environment_variables) MLFLOW_GENAI_EVAL_SKIP_TRACE_VALIDATION (in module mlflow.environment_variables) MLFLOW_HTTP_POOL_CONNECTIONS (in module mlflow.environment_variables) MLFLOW_HTTP_POOL_MAXSIZE (in module mlflow.environment_variables) MLFLOW_HTTP_REQUEST_BACKOFF_FACTOR (in module mlflow.environment_variables) MLFLOW_HTTP_REQUEST_BACKOFF_JITTER (in module mlflow.environment_variables) MLFLOW_HTTP_REQUEST_MAX_RETRIES (in module mlflow.environment_variables) MLFLOW_HTTP_REQUEST_TIMEOUT (in module mlflow.environment_variables) MLFLOW_HTTP_RESPECT_RETRY_AFTER_HEADER (in module mlflow.environment_variables) MLFLOW_HUGGINGFACE_DEVICE_MAP_STRATEGY (in module mlflow.environment_variables) MLFLOW_HUGGINGFACE_MODEL_MAX_SHARD_SIZE (in module mlflow.environment_variables) MLFLOW_HUGGINGFACE_USE_LOW_CPU_MEM_USAGE (in module mlflow.environment_variables) MLFLOW_INPUT_EXAMPLE_INFERENCE_TIMEOUT (in module mlflow.environment_variables) MLFLOW_JUDGE_MAX_ITERATIONS (in module mlflow.environment_variables) MLFLOW_KERBEROS_TICKET_CACHE (in module mlflow.environment_variables) MLFLOW_KERBEROS_USER (in module mlflow.environment_variables) MLFLOW_LOCK_MODEL_DEPENDENCIES (in module mlflow.environment_variables) MLFLOW_LOG_MODEL_COMPRESSION (in module mlflow.environment_variables) MLFLOW_LOGGING_LEVEL (in module mlflow.environment_variables) MLFLOW_MODEL_SERVING (mlflow.gateway.config.Provider attribute) MLFLOW_MULTIPART_DOWNLOAD_CHUNK_SIZE (in module mlflow.environment_variables) MLFLOW_MULTIPART_DOWNLOAD_MINIMUM_FILE_SIZE (in module mlflow.environment_variables) MLFLOW_MULTIPART_UPLOAD_CHUNK_SIZE (in module mlflow.environment_variables) MLFLOW_MULTIPART_UPLOAD_MINIMUM_FILE_SIZE (in module mlflow.environment_variables) MLFLOW_MYSQL_SSL_CA (in module mlflow.environment_variables) MLFLOW_MYSQL_SSL_CERT (in module mlflow.environment_variables) MLFLOW_MYSQL_SSL_KEY (in module mlflow.environment_variables) MLFLOW_OPENAI_SECRET_SCOPE (in module mlflow.environment_variables) MLFLOW_PRINT_MODEL_URLS_ON_CREATION (in module mlflow.environment_variables) MLFLOW_PROMPT_CACHE_MAX_SIZE (in module mlflow.environment_variables) MLFLOW_PYARROW_EXTRA_CONF (in module mlflow.environment_variables) MLFLOW_REGISTRY_DIR (in module mlflow.environment_variables) MLFLOW_REGISTRY_URI (in module mlflow.environment_variables) MLFLOW_REQUIREMENTS_INFERENCE_RAISE_ERRORS (in module mlflow.environment_variables) MLFLOW_REQUIREMENTS_INFERENCE_TIMEOUT (in module mlflow.environment_variables) MLFLOW_RUN_CONTEXT (in module mlflow.environment_variables) MLFLOW_RUN_ID (in module mlflow.environment_variables) mlflow_run_id (mlflow.genai.LabelingSession property) MLFLOW_S3_ENDPOINT_URL (in module mlflow.environment_variables) MLFLOW_S3_EXPECTED_BUCKET_OWNER (in module mlflow.environment_variables) MLFLOW_S3_IGNORE_TLS (in module mlflow.environment_variables) MLFLOW_S3_UPLOAD_EXTRA_ARGS (in module mlflow.environment_variables) MLFLOW_SCORING_SERVER_REQUEST_TIMEOUT (in module mlflow.environment_variables) MLFLOW_SEARCH_TRACES_MAX_THREADS (in module mlflow.environment_variables) MLFLOW_SERVER_ALLOWED_HOSTS (in module mlflow.environment_variables) MLFLOW_SERVER_CORS_ALLOWED_ORIGINS (in module mlflow.environment_variables) MLFLOW_SERVER_DISABLE_SECURITY_MIDDLEWARE (in module mlflow.environment_variables) MLFLOW_SERVER_ENABLE_GRAPHQL_AUTH (in module mlflow.environment_variables) MLFLOW_SERVER_ENABLE_JOB_EXECUTION (in module mlflow.environment_variables) MLFLOW_SERVER_GRAPHQL_MAX_ALIASES (in module mlflow.environment_variables) MLFLOW_SERVER_GRAPHQL_MAX_ROOT_FIELDS (in module mlflow.environment_variables) MLFLOW_SERVER_JOB_TRANSIENT_ERROR_MAX_RETRIES (in module mlflow.environment_variables) MLFLOW_SERVER_JOB_TRANSIENT_ERROR_RETRY_BASE_DELAY (in module mlflow.environment_variables) MLFLOW_SERVER_JOB_TRANSIENT_ERROR_RETRY_MAX_DELAY (in module mlflow.environment_variables) MLFLOW_SERVER_X_FRAME_OPTIONS (in module mlflow.environment_variables) MLFLOW_SKIP_SIGNATURE_CHECK_FOR_UC_REGISTRY_MIGRATION (in module mlflow.environment_variables) MLFLOW_SQLALCHEMYSTORE_ECHO (in module mlflow.environment_variables) MLFLOW_SQLALCHEMYSTORE_MAX_OVERFLOW (in module mlflow.environment_variables) MLFLOW_SQLALCHEMYSTORE_POOL_RECYCLE (in module mlflow.environment_variables) MLFLOW_SQLALCHEMYSTORE_POOL_SIZE (in module mlflow.environment_variables) MLFLOW_SQLALCHEMYSTORE_POOLCLASS (in module mlflow.environment_variables) MLFLOW_SUPPRESS_PRINTING_URL_TO_STDOUT (in module mlflow.environment_variables) MLFLOW_SYSTEM_METRICS_NODE_ID (in module mlflow.environment_variables) MLFLOW_SYSTEM_METRICS_SAMPLES_BEFORE_LOGGING (in module mlflow.environment_variables) MLFLOW_SYSTEM_METRICS_SAMPLING_INTERVAL (in module mlflow.environment_variables) MLFLOW_TRACE_ENABLE_OTLP_DUAL_EXPORT (in module mlflow.environment_variables) MLFLOW_TRACE_SAMPLING_RATIO (in module mlflow.environment_variables) MLFLOW_TRACE_TIMEOUT_CHECK_INTERVAL_SECONDS (in module mlflow.environment_variables) MLFLOW_TRACE_TIMEOUT_SECONDS (in module mlflow.environment_variables) MLFLOW_TRACING_DESTINATION (in module mlflow.environment_variables) MLFLOW_TRACING_SQL_WAREHOUSE_ID (in module mlflow.environment_variables) MLFLOW_TRACKING_AUTH (in module mlflow.environment_variables) MLFLOW_TRACKING_AWS_SIGV4 (in module mlflow.environment_variables) MLFLOW_TRACKING_CLIENT_CERT_PATH (in module mlflow.environment_variables) MLFLOW_TRACKING_DIR (in module mlflow.environment_variables) MLFLOW_TRACKING_INSECURE_TLS (in module mlflow.environment_variables) MLFLOW_TRACKING_PASSWORD (in module mlflow.environment_variables) MLFLOW_TRACKING_SERVER_CERT_PATH (in module mlflow.environment_variables) MLFLOW_TRACKING_TOKEN (in module mlflow.environment_variables) MLFLOW_TRACKING_URI (in module mlflow.environment_variables) MLFLOW_TRACKING_USERNAME (in module mlflow.environment_variables) MLFLOW_TRUNCATE_LONG_VALUES (in module mlflow.environment_variables) MLFLOW_UC_OSS_TOKEN (in module mlflow.environment_variables) MLFLOW_USE_DATABRICKS_SDK_MODEL_ARTIFACTS_REPO_FOR_UC (in module mlflow.environment_variables) MLFLOW_USE_DEFAULT_TRACER_PROVIDER (in module mlflow.environment_variables) mlflow_version (mlflow.models.model.ModelInfo property) MLFLOW_VERSION_PROMPT_CACHE_TTL_SECONDS (in module mlflow.environment_variables) MLFLOW_WEBHOOK_CACHE_TTL (in module mlflow.environment_variables) MLFLOW_WEBHOOK_DELIVERY_MAX_WORKERS (in module mlflow.environment_variables) MLFLOW_WEBHOOK_REQUEST_MAX_RETRIES (in module mlflow.environment_variables) MLFLOW_WEBHOOK_REQUEST_TIMEOUT (in module mlflow.environment_variables) MLFLOW_WEBHOOK_SECRET_ENCRYPTION_KEY (in module mlflow.environment_variables) MLFLOW_WHEELED_MODEL_PIP_DOWNLOAD_OPTIONS (in module mlflow.environment_variables) MlflowCallback (class in mlflow.keras.callback) (class in mlflow.tensorflow) MlflowClient (class in mlflow.client) MlflowDeploymentClient (class in mlflow.deployments) MlflowException MlflowExperimentLocation (class in mlflow.entities) MlflowModelCheckpointCallback (class in mlflow.pytorch) MlflowModelServingConfig (class in mlflow.gateway.config) MlflowNotImplementedException MlflowTraceDataCorrupted MlflowTraceDataException MlflowTraceDataNotFound MlflowTracingException Model (class in mlflow.gateway.config) (class in mlflow.models) MODEL (mlflow.entities.EntityAssociationType attribute) model (mlflow.gateway.config.EndpointConfig attribute) (mlflow.genai.scorers.Completeness 属性) (mlflow.genai.scorers.ConversationalRoleAdherence 属性) (mlflow.genai.scorers.ConversationalSafety 属性) (mlflow.genai.scorers.ConversationalToolCallEfficiency 属性) (mlflow.genai.scorers.ConversationCompleteness 属性) (mlflow.genai.scorers.Correctness 属性) (mlflow.genai.scorers.Equivalence 属性) (mlflow.genai.scorers.ExpectationsGuidelines 属性) (mlflow.genai.scorers.Guidelines 属性) (mlflow.genai.scorers.RelevanceToQuery 属性) (mlflow.genai.scorers.RetrievalGroundedness 属性) (mlflow.genai.scorers.RetrievalRelevance 属性) (mlflow.genai.scorers.RetrievalSufficiency 属性) (mlflow.genai.scorers.Safety 属性) (mlflow.genai.scorers.Summarization 属性) (mlflow.genai.scorers.ToolCallEfficiency 属性) (mlflow.genai.scorers.UserFrustration 属性) model_config (mlflow.entities.model_registry.PromptModelConfig attribute) (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.gateway.config.AI21LabsConfig attribute) (mlflow.gateway.config.AliasedConfigModel attribute) (mlflow.gateway.config.AmazonBedrockConfig attribute) (mlflow.gateway.config.AnthropicConfig attribute) (mlflow.gateway.config.AWSBaseConfig attribute) (mlflow.gateway.config.AWSIdAndKey attribute) (mlflow.gateway.config.AWSRole attribute) (mlflow.gateway.config.CohereConfig attribute) (mlflow.gateway.config.EndpointConfig attribute) (mlflow.gateway.config.EndpointModelInfo attribute) (mlflow.gateway.config.GatewayConfig attribute) (mlflow.gateway.config.GeminiConfig attribute) (mlflow.gateway.config.HuggingFaceTextGenerationInferenceConfig attribute) (mlflow.gateway.config.Limit 属性) (mlflow.gateway.config.LimitsConfig attribute) (mlflow.gateway.config.MistralConfig attribute) (mlflow.gateway.config.MlflowModelServingConfig attribute) (mlflow.gateway.config.Model attribute) (mlflow.gateway.config.ModelInfo attribute) (mlflow.gateway.config.MosaicMLConfig attribute) (mlflow.gateway.config.OpenAIConfig attribute) (mlflow.gateway.config.PaLMConfig attribute) (mlflow.gateway.config.RouteDestinationConfig attribute) (mlflow.gateway.config.TogetherAIConfig attribute) (mlflow.gateway.config.TrafficRouteConfig attribute) (mlflow.genai.judges.Judge attribute) (mlflow.genai.Scorer 属性) (mlflow.genai.scorers.Completeness 属性) (mlflow.genai.scorers.ConversationalRoleAdherence 属性) (mlflow.genai.scorers.ConversationalSafety 属性) (mlflow.genai.scorers.ConversationalToolCallEfficiency 属性) (mlflow.genai.scorers.ConversationCompleteness 属性) (mlflow.genai.scorers.Correctness 属性) (mlflow.genai.scorers.deepeval.AnswerRelevancy attribute) (mlflow.genai.scorers.deepeval.ArgumentCorrectness 属性) (mlflow.genai.scorers.deepeval.Bias 属性) (mlflow.genai.scorers.deepeval.ContextualPrecision 属性) (mlflow.genai.scorers.deepeval.ContextualRecall 属性) (mlflow.genai.scorers.deepeval.ContextualRelevancy 属性) (mlflow.genai.scorers.deepeval.ConversationCompleteness 属性) (mlflow.genai.scorers.deepeval.ExactMatch 属性) (mlflow.genai.scorers.deepeval.Faithfulness 属性) (mlflow.genai.scorers.deepeval.GoalAccuracy 属性) (mlflow.genai.scorers.deepeval.Hallucination 属性) (mlflow.genai.scorers.deepeval.JsonCorrectness 属性) (mlflow.genai.scorers.deepeval.KnowledgeRetention 属性) (mlflow.genai.scorers.deepeval.Misuse 属性) (mlflow.genai.scorers.deepeval.NonAdvice 属性) (mlflow.genai.scorers.deepeval.PatternMatch 属性) (mlflow.genai.scorers.deepeval.PIILeakage 属性) (mlflow.genai.scorers.deepeval.PlanAdherence 属性) (mlflow.genai.scorers.deepeval.PlanQuality 属性) (mlflow.genai.scorers.deepeval.PromptAlignment 属性) (mlflow.genai.scorers.deepeval.RoleAdherence 属性) (mlflow.genai.scorers.deepeval.RoleViolation 属性) (mlflow.genai.scorers.deepeval.StepEfficiency 属性) (mlflow.genai.scorers.deepeval.Summarization 属性) (mlflow.genai.scorers.deepeval.TaskCompletion 属性) (mlflow.genai.scorers.deepeval.ToolCorrectness 属性) (mlflow.genai.scorers.deepeval.ToolUse 属性) (mlflow.genai.scorers.deepeval.TopicAdherence 属性) (mlflow.genai.scorers.deepeval.Toxicity 属性) (mlflow.genai.scorers.deepeval.TurnRelevancy 属性) (mlflow.genai.scorers.Equivalence 属性) (mlflow.genai.scorers.ExpectationsGuidelines 属性) (mlflow.genai.scorers.Guidelines 属性) (mlflow.genai.scorers.ragas.AspectCritic 属性) (mlflow.genai.scorers.ragas.BleuScore 属性) (mlflow.genai.scorers.ragas.ChrfScore 属性) (mlflow.genai.scorers.ragas.ContextEntityRecall 属性) (mlflow.genai.scorers.ragas.ContextPrecision 属性) (mlflow.genai.scorers.ragas.ContextRecall 属性) (mlflow.genai.scorers.ragas.ExactMatch 属性) (mlflow.genai.scorers.ragas.FactualCorrectness 属性) (mlflow.genai.scorers.ragas.Faithfulness 属性) (mlflow.genai.scorers.ragas.InstanceRubrics 属性) (mlflow.genai.scorers.ragas.NoiseSensitivity 属性) (mlflow.genai.scorers.ragas.NonLLMContextPrecisionWithReference 属性) (mlflow.genai.scorers.ragas.NonLLMContextRecall 属性) (mlflow.genai.scorers.ragas.NonLLMStringSimilarity 属性) (mlflow.genai.scorers.ragas.RougeScore 属性) (mlflow.genai.scorers.ragas.RubricsScore 属性) (mlflow.genai.scorers.ragas.StringPresence 属性) (mlflow.genai.scorers.ragas.SummarizationScore 属性) (mlflow.genai.scorers.RelevanceToQuery 属性) (mlflow.genai.scorers.RetrievalGroundedness 属性) (mlflow.genai.scorers.RetrievalRelevance 属性) (mlflow.genai.scorers.RetrievalSufficiency 属性) (mlflow.genai.scorers.Safety 属性) (mlflow.genai.scorers.Summarization 属性) (mlflow.genai.scorers.ToolCallEfficiency 属性) (mlflow.genai.scorers.UserFrustration 属性) (mlflow.pyfunc.PyFuncModel 属性) (mlflow.pyfunc.PythonModelContext 属性) model_definition (mlflow.entities.GatewayEndpointModelMapping attribute) model_definition_id (mlflow.entities.GatewayEndpointModelMapping attribute) (mlflow.entities.GatewayModelDefinition 属性) model_dump() (mlflow.genai.Scorer method) model_id (mlflow.entities.LoggedModel property) (mlflow.entities.LoggedModelInput property) (mlflow.entities.LoggedModelOutput property) (mlflow.entities.Metric 属性) (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.models.model.ModelInfo 属性) (mlflow.pyfunc.PyFuncModel 属性) model_inputs (mlflow.entities.RunInputs property) model_mappings (mlflow.entities.GatewayEndpoint attribute) model_name (mlflow.entities.GatewayModelDefinition attribute) (mlflow.entities.model_registry.PromptModelConfig attribute) (mlflow.genai.optimize.LLMParams attribute) model_outputs (mlflow.entities.RunOutputs property) model_post_init() (mlflow.genai.judges.Judge method) (mlflow.genai.Scorer method) (mlflow.genai.scorers.Completeness 方法) (mlflow.genai.scorers.ConversationalRoleAdherence method) (mlflow.genai.scorers.ConversationalSafety method) (mlflow.genai.scorers.ConversationalToolCallEfficiency method) (mlflow.genai.scorers.ConversationCompleteness method) (mlflow.genai.scorers.Correctness 方法) (mlflow.genai.scorers.deepeval.AnswerRelevancy method) (mlflow.genai.scorers.deepeval.ArgumentCorrectness method) (mlflow.genai.scorers.deepeval.Bias method) (mlflow.genai.scorers.deepeval.ContextualPrecision method) (mlflow.genai.scorers.deepeval.ContextualRecall method) (mlflow.genai.scorers.deepeval.ContextualRelevancy method) (mlflow.genai.scorers.deepeval.ConversationCompleteness method) (mlflow.genai.scorers.deepeval.ExactMatch method) (mlflow.genai.scorers.deepeval.Faithfulness method) (mlflow.genai.scorers.deepeval.GoalAccuracy method) (mlflow.genai.scorers.deepeval.Hallucination method) (mlflow.genai.scorers.deepeval.JsonCorrectness method) (mlflow.genai.scorers.deepeval.KnowledgeRetention method) (mlflow.genai.scorers.deepeval.Misuse method) (mlflow.genai.scorers.deepeval.NonAdvice method) (mlflow.genai.scorers.deepeval.PatternMatch method) (mlflow.genai.scorers.deepeval.PIILeakage method) (mlflow.genai.scorers.deepeval.PlanAdherence method) (mlflow.genai.scorers.deepeval.PlanQuality method) (mlflow.genai.scorers.deepeval.PromptAlignment method) (mlflow.genai.scorers.deepeval.RoleAdherence method) (mlflow.genai.scorers.deepeval.RoleViolation method) (mlflow.genai.scorers.deepeval.StepEfficiency method) (mlflow.genai.scorers.deepeval.Summarization method) (mlflow.genai.scorers.deepeval.TaskCompletion method) (mlflow.genai.scorers.deepeval.ToolCorrectness method) (mlflow.genai.scorers.deepeval.ToolUse method) (mlflow.genai.scorers.deepeval.TopicAdherence method) (mlflow.genai.scorers.deepeval.Toxicity method) (mlflow.genai.scorers.deepeval.TurnRelevancy method) (mlflow.genai.scorers.Equivalence 方法) (mlflow.genai.scorers.ExpectationsGuidelines 方法) (mlflow.genai.scorers.Guidelines 方法) (mlflow.genai.scorers.ragas.AspectCritic method) (mlflow.genai.scorers.ragas.BleuScore method) (mlflow.genai.scorers.ragas.ChrfScore method) (mlflow.genai.scorers.ragas.ContextEntityRecall method) (mlflow.genai.scorers.ragas.ContextPrecision method) (mlflow.genai.scorers.ragas.ContextRecall method) (mlflow.genai.scorers.ragas.ExactMatch method) (mlflow.genai.scorers.ragas.FactualCorrectness method) (mlflow.genai.scorers.ragas.Faithfulness method) (mlflow.genai.scorers.ragas.InstanceRubrics method) (mlflow.genai.scorers.ragas.NoiseSensitivity method) (mlflow.genai.scorers.ragas.NonLLMContextPrecisionWithReference method) (mlflow.genai.scorers.ragas.NonLLMContextRecall method) (mlflow.genai.scorers.ragas.NonLLMStringSimilarity method) (mlflow.genai.scorers.ragas.RougeScore method) (mlflow.genai.scorers.ragas.RubricsScore method) (mlflow.genai.scorers.ragas.StringPresence method) (mlflow.genai.scorers.ragas.SummarizationScore method) (mlflow.genai.scorers.RelevanceToQuery 方法) (mlflow.genai.scorers.RetrievalGroundedness 方法) (mlflow.genai.scorers.RetrievalRelevance 方法) (mlflow.genai.scorers.RetrievalSufficiency 方法) (mlflow.genai.scorers.Safety 方法) (mlflow.genai.scorers.Summarization 方法) (mlflow.genai.scorers.ToolCallEfficiency 方法) (mlflow.genai.scorers.UserFrustration method) model_server_url (mlflow.gateway.config.MlflowModelServingConfig attribute) model_serving_endpoint (mlflow.genai.Agent property) model_size_bytes (mlflow.models.Model property) model_type (mlflow.entities.LoggedModel property) model_uri (mlflow.entities.LoggedModel property) (mlflow.models.model.ModelInfo 属性) model_uuid (mlflow.models.model.ModelInfo property) model_validate() (mlflow.genai.Scorer class method) ModelConfig (class in mlflow.models) ModelInfo (class in mlflow.gateway.config) (class in mlflow.models.model) ModelSignature (class in mlflow.models) ModelVersion (class in mlflow.entities.model_registry) ModelVersionAliasCreatedPayload (class in mlflow.webhooks) ModelVersionAliasDeletedPayload (class in mlflow.webhooks) ModelVersionCreatedPayload (class in mlflow.webhooks) ModelVersionDeploymentJobState (class in mlflow.entities.model_registry) ModelVersionSearch (class in mlflow.entities.model_registry) ModelVersionTag (class in mlflow.entities.model_registry) ModelVersionTagDeletedPayload (class in mlflow.webhooks) ModelVersionTagSetPayload (class in mlflow.webhooks) module mlflow mlflow.ag2 mlflow.agno mlflow.anthropic mlflow.artifacts mlflow.autogen mlflow.bedrock mlflow.catboost mlflow.client mlflow.config mlflow.crewai mlflow.deployments mlflow.dspy mlflow.entities mlflow.entities.model_registry mlflow.environment_variables mlflow.exceptions mlflow.gateway mlflow.gateway.base_models mlflow.gateway.config mlflow.gemini mlflow.genai mlflow.genai.agent_server mlflow.genai.datasets mlflow.genai.judges mlflow.genai.label_schemas mlflow.genai.optimize mlflow.genai.scorers mlflow.genai.scorers.deepeval mlflow.genai.scorers.ragas mlflow.groq mlflow.h2o mlflow.haystack mlflow.johnsnowlabs mlflow.keras.autolog mlflow.keras.callback mlflow.keras.load mlflow.keras.save mlflow.langchain mlflow.lightgbm mlflow.litellm mlflow.llama_index mlflow.metrics mlflow.metrics.genai mlflow.mistral mlflow.models mlflow.onnx mlflow.openai mlflow.paddle mlflow.pmdarima mlflow.projects mlflow.prophet mlflow.pydantic_ai mlflow.pyfunc mlflow.pyspark.ml mlflow.pytorch mlflow.sagemaker mlflow.sentence_transformers mlflow.server mlflow.server.auth.entities mlflow.shap mlflow.sklearn mlflow.smolagents mlflow.spacy mlflow.spark mlflow.statsmodels mlflow.store.entities mlflow.strands mlflow.system_metrics mlflow.tensorflow mlflow.tracing mlflow.transformers mlflow.types mlflow.types.agent mlflow.types.chat mlflow.types.llm mlflow.types.llm._BaseDataclass mlflow.types.responses mlflow.types.responses_helpers mlflow.types.schema mlflow.utils.async_logging mlflow.utils.async_logging.run_operations mlflow.webhooks mlflow.xgboost MOSAICML (mlflow.gateway.config.Provider attribute) mosaicml_api_base (mlflow.gateway.config.MosaicMLConfig attribute) mosaicml_api_key (mlflow.gateway.config.MosaicMLConfig attribute) MosaicMLConfig (class in mlflow.gateway.config) mse() (in module mlflow.metrics)

N

name (mlflow.data.dataset.Dataset property) (mlflow.data.evaluation_dataset.EvaluationDataset 属性) (mlflow.data.polars_dataset.PolarsDataset.PolarsDatasetConfig 属性) (mlflow.entities.Assessment attribute) (mlflow.entities.Dataset 属性) (mlflow.entities.Experiment 属性) (mlflow.entities.GatewayEndpoint 属性) (mlflow.entities.GatewayModelDefinition 属性) (mlflow.entities.LoggedModel 属性) (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.entities.model_registry.RegisteredModel 属性) (mlflow.entities.NoOpSpan property) (mlflow.entities.Prompt 属性) (mlflow.entities.Span 属性) (mlflow.entities.SpanEvent 属性) (mlflow.entities.Webhook 属性) (mlflow.gateway.config.EndpointConfig attribute) (mlflow.gateway.config.EndpointModelInfo attribute) (mlflow.gateway.config.Model attribute) (mlflow.gateway.config.ModelInfo attribute) (mlflow.gateway.config.RouteDestinationConfig attribute) (mlflow.gateway.config.TrafficRouteConfig attribute) (mlflow.genai.datasets.EvaluationDataset 属性) (mlflow.genai.label_schemas.LabelSchema attribute) (mlflow.genai.LabelingSession 属性) (mlflow.genai.Scorer 属性) (mlflow.genai.scorers.Completeness 属性) (mlflow.genai.scorers.ConversationalRoleAdherence 属性) (mlflow.genai.scorers.ConversationalSafety 属性) (mlflow.genai.scorers.ConversationalToolCallEfficiency 属性) (mlflow.genai.scorers.ConversationCompleteness 属性) (mlflow.genai.scorers.Correctness 属性) (mlflow.genai.scorers.Equivalence 属性) (mlflow.genai.scorers.ExpectationsGuidelines 属性) (mlflow.genai.scorers.Guidelines 属性) (mlflow.genai.scorers.RelevanceToQuery 属性) (mlflow.genai.scorers.RetrievalGroundedness 属性) (mlflow.genai.scorers.RetrievalRelevance 属性) (mlflow.genai.scorers.RetrievalSufficiency 属性) (mlflow.genai.scorers.Safety 属性) (mlflow.genai.scorers.Summarization 属性) (mlflow.genai.scorers.ToolCallEfficiency 属性) (mlflow.genai.scorers.UserFrustration 属性) (mlflow.models.model.ModelInfo 属性) (mlflow.server.auth.entities.RegisteredModelPermission property) (mlflow.types.ColSpec property) (mlflow.types.ParamSpec property) (mlflow.types.schema.Property 属性) (mlflow.types.TensorSpec property) (mlflow.webhooks.ModelVersionAliasCreatedPayload 属性) (mlflow.webhooks.ModelVersionAliasDeletedPayload 属性) (mlflow.webhooks.ModelVersionCreatedPayload 属性) (mlflow.webhooks.ModelVersionTagDeletedPayload 属性) (mlflow.webhooks.ModelVersionTagSetPayload 属性) (mlflow.webhooks.PromptAliasCreatedPayload 属性) (mlflow.webhooks.PromptAliasDeletedPayload 属性) (mlflow.webhooks.PromptCreatedPayload 属性) (mlflow.webhooks.PromptTagDeletedPayload 属性) (mlflow.webhooks.PromptTagSetPayload 属性) (mlflow.webhooks.PromptVersionCreatedPayload 属性) (mlflow.webhooks.PromptVersionTagDeletedPayload 属性) (mlflow.webhooks.PromptVersionTagSetPayload 属性) (mlflow.webhooks.RegisteredModelCreatedPayload 属性)

ndcg_at_k() (in module mlflow.metrics) NO (mlflow.genai.judges.CategoricalRating attribute) NoiseSensitivity (class in mlflow.genai.scorers.ragas) NonAdvice (class in mlflow.genai.scorers.deepeval) NonLLMContextPrecisionWithReference (class in mlflow.genai.scorers.ragas) NonLLMContextRecall (class in mlflow.genai.scorers.ragas) NonLLMStringSimilarity (class in mlflow.genai.scorers.ragas) NoOpSpan (class in mlflow.entities) NOT_FOUND (mlflow.entities.model_registry.RegisteredModelDeploymentJobState attribute) NOT_SET_UP (mlflow.entities.model_registry.RegisteredModelDeploymentJobState attribute) NOTEBOOK (mlflow.entities.SourceType attribute) num_elements (mlflow.data.polars_dataset.PolarsDataset.PolarsDatasetProfile attribute) num_instruction_candidates (mlflow.genai.optimize.OptimizerConfig attribute) num_rows (mlflow.data.polars_dataset.PolarsDataset.PolarsDatasetProfile attribute) NUM_SAMPLE_ROWS_FOR_HASH (mlflow.data.evaluation_dataset.EvaluationDataset attribute) num_threads (mlflow.genai.optimize.OptimizerConfig attribute) numpy_types() (mlflow.types.Schema method) NumpyDataset (class in mlflow.data.numpy_dataset)

O

Object (class in mlflow.types.schema) OK (mlflow.entities.SpanStatusCode attribute) (mlflow.entities.TraceState 属性) on_batch_end() (mlflow.keras.callback.MlflowCallback method) (mlflow.tensorflow.MlflowCallback method) on_epoch_end() (mlflow.keras.callback.MlflowCallback method) (mlflow.tensorflow.MlflowCallback method) on_fit_start() (mlflow.pytorch.MlflowModelCheckpointCallback method) on_test_end() (mlflow.keras.callback.MlflowCallback method) (mlflow.tensorflow.MlflowCallback method) on_train_batch_end() (mlflow.pytorch.MlflowModelCheckpointCallback method) on_train_begin() (mlflow.keras.callback.MlflowCallback method) (mlflow.tensorflow.MlflowCallback method) on_train_epoch_end() (mlflow.pytorch.MlflowModelCheckpointCallback method) OPENAI (mlflow.gateway.config.OpenAIAPIType attribute) (mlflow.gateway.config.Provider attribute) openai_api_base (mlflow.gateway.config.OpenAIConfig attribute) openai_api_key (mlflow.gateway.config.OpenAIConfig attribute) openai_api_type (mlflow.gateway.config.OpenAIConfig attribute) openai_api_version (mlflow.gateway.config.OpenAIConfig attribute) openai_deployment_name (mlflow.gateway.config.OpenAIConfig attribute) openai_organization (mlflow.gateway.config.OpenAIConfig attribute) OpenAIAPIType (class in mlflow.gateway.config) OpenAIConfig (class in mlflow.gateway.config) OpenAIDeploymentClient (class in mlflow.deployments)

OPERATION mlflow-models-update-pip-requirements 命令行选项 optimize() (mlflow.genai.optimize.BasePromptOptimizer method) (mlflow.genai.optimize.GepaPromptOptimizer method) optimize_prompt() (in module mlflow.genai) (in module mlflow.genai.optimize) optimize_prompts() (in module mlflow.genai) (in module mlflow.genai.optimize) optimized_prompts (mlflow.genai.optimize.PromptOptimizationResult attribute) (mlflow.genai.optimize.PromptOptimizerOutput 属性) optimizer_llm (mlflow.genai.optimize.OptimizerConfig attribute) optimizer_name (mlflow.genai.optimize.PromptOptimizationResult attribute) OptimizerConfig (class in mlflow.genai.optimize) optional_input_names() (mlflow.types.Schema method) options (mlflow.genai.label_schemas.InputCategorical attribute) (mlflow.genai.label_schemas.InputCategoricalList attribute) output_text (mlflow.types.responses_helpers.Response property) output_to_responses_items_stream() (mlflow.pyfunc.ResponsesAgent static method) OutputItem (class in mlflow.types.responses_helpers) outputs (mlflow.entities.DatasetRecord attribute) (mlflow.entities.Run 属性) (mlflow.entities.Span 属性) OutputTokensDetails (class in mlflow.types.responses_helpers) override_feedback() (in module mlflow) overrides (mlflow.entities.Assessment attribute)

P

page_content (mlflow.entities.Document attribute) PagedList (class in mlflow.store.entities) PALM (mlflow.gateway.config.Provider attribute) palm_api_key (mlflow.gateway.config.PaLMConfig attribute) PaLMConfig (class in mlflow.gateway.config) pandas_dataframe_columns() (mlflow.entities.Trace static method) pandas_types() (mlflow.types.Schema method) PandasDataset (class in mlflow.data.pandas_dataset) Param (class in mlflow.entities) ParamProperty (class in mlflow.types.chat) (类 mlflow.types.llm 中) params (mlflow.entities.LoggedModel property) (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.RunData 属性) (mlflow.models.model.ModelInfo 属性) (mlflow.types.ParamSchema property) ParamSchema (class in mlflow.types) ParamSpec (class in mlflow.types) ParamSpec.ParamSpecTypedDict (class in mlflow.types) ParamType (class in mlflow.types.chat) (类 mlflow.types.llm 中) parent_id (mlflow.entities.NoOpSpan property) (mlflow.entities.Span 属性) parse_prompt_uri() (mlflow.client.MlflowClient method) PARSER (mlflow.entities.SpanType attribute) password_hash (mlflow.server.auth.entities.User property) path (mlflow.data.delta_dataset_source.DeltaDatasetSource property) (mlflow.data.evaluation_dataset.EvaluationDataset 属性) (mlflow.entities.FileInfo property) PatternMatch (class in mlflow.genai.scorers.deepeval) PENDING (mlflow.entities.LoggedModelStatus attribute) permission (mlflow.server.auth.entities.ExperimentPermission property) (mlflow.server.auth.entities.RegisteredModelPermission property) (mlflow.server.auth.entities.ScorerPermission 属性) persist_pretrained_model() (in module mlflow.transformers) PIILeakage (class in mlflow.genai.scorers.deepeval) PlanAdherence (class in mlflow.genai.scorers.deepeval) PlanQuality (class in mlflow.genai.scorers.deepeval) PolarsDataset (class in mlflow.data.polars_dataset) PolarsDataset.PolarsDatasetConfig (class in mlflow.data.polars_dataset) PolarsDataset.PolarsDatasetProfile (class in mlflow.data.polars_dataset) precision_at_k() (in module mlflow.metrics) precision_score() (in module mlflow.metrics) predict() (in module mlflow.models) (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.keras.load.KerasModelWrapper method) (mlflow.models.FlavorBackend method) (mlflow.pyfunc.ChatAgent method) (mlflow.pyfunc.ChatModel method) (mlflow.pyfunc.PyFuncModel 方法) (mlflow.pyfunc.PythonModel method) (mlflow.pyfunc.ResponsesAgent method) (mlflow.sagemaker.SageMakerDeploymentClient 方法) predict_stream() (mlflow.deployments.BaseDeploymentClient method) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.pyfunc.ChatAgent method) (mlflow.pyfunc.ChatModel method) (mlflow.pyfunc.PyFuncModel 方法) (mlflow.pyfunc.PythonModel method) (mlflow.pyfunc.ResponsesAgent method)

predict_type_hints (mlflow.pyfunc.PythonModel property) predictions (mlflow.data.pandas_dataset.PandasDataset property) (mlflow.data.polars_dataset.PolarsDataset 属性) (mlflow.data.spark_dataset.SparkDataset 属性) predictions_data (mlflow.data.evaluation_dataset.EvaluationDataset property) predictions_name (mlflow.data.evaluation_dataset.EvaluationDataset property) PredictionsResponse (class in mlflow.deployments) prep_msgs_for_cc_llm() (mlflow.pyfunc.ResponsesAgent static method) prepare_env() (mlflow.models.FlavorBackend method) presence_penalty (mlflow.entities.model_registry.PromptModelConfig attribute) profile (mlflow.data.dataset.Dataset property) (mlflow.data.huggingface_dataset.HuggingFaceDataset property) (mlflow.data.numpy_dataset.NumpyDataset property) (mlflow.data.pandas_dataset.PandasDataset property) (mlflow.data.polars_dataset.PolarsDataset 属性) (mlflow.data.polars_dataset.PolarsDataset.PolarsDatasetConfig 属性) (mlflow.data.spark_dataset.SparkDataset 属性) (mlflow.data.tensorflow_dataset.TensorFlowDataset property) (mlflow.entities.Dataset 属性) (mlflow.genai.datasets.EvaluationDataset 属性) PROJECT (mlflow.entities.SourceType attribute) Prompt (class in mlflow.entities) PROMPT_VERSION (mlflow.entities.EntityAssociationType attribute) PromptAliasCreatedPayload (class in mlflow.webhooks) PromptAliasDeletedPayload (class in mlflow.webhooks) PromptAlignment (class in mlflow.genai.scorers.deepeval) PromptCreatedPayload (class in mlflow.webhooks) PromptModelConfig (class in mlflow.entities.model_registry) PromptOptimizationResult (class in mlflow.genai.optimize) PromptOptimizerOutput (class in mlflow.genai.optimize) prompts (mlflow.models.model.ModelInfo property) PromptTagDeletedPayload (class in mlflow.webhooks) PromptTagSetPayload (class in mlflow.webhooks) PromptVersion (class in mlflow.entities.model_registry) PromptVersionCreatedPayload (class in mlflow.webhooks) PromptVersionTagDeletedPayload (class in mlflow.webhooks) PromptVersionTagSetPayload (class in mlflow.webhooks) properties (mlflow.types.schema.Object property) Property (class in mlflow.types.schema) Provider (class in mlflow.gateway.config) provider (mlflow.entities.GatewayModelDefinition attribute) (mlflow.entities.GatewaySecretInfo 属性) (mlflow.entities.model_registry.PromptModelConfig attribute) (mlflow.gateway.config.EndpointModelInfo attribute) (mlflow.gateway.config.Model attribute) (mlflow.gateway.config.ModelInfo attribute) push_image_to_ecr() (in module mlflow.sagemaker) push_model_to_sagemaker() (in module mlflow.sagemaker) PyFuncModel (class in mlflow.pyfunc) PythonModel (class in mlflow.pyfunc) PythonModelContext (class in mlflow.pyfunc)

R

r2_score() (in module mlflow.metrics) rationale (mlflow.entities.Assessment attribute) READY (mlflow.entities.LoggedModelStatus attribute) ReasoningParams (class in mlflow.types.responses_helpers) recall_at_k() (in module mlflow.metrics) recall_score() (in module mlflow.metrics) record_exception() (mlflow.entities.LiveSpan method) (mlflow.entities.NoOpSpan 方法) register() (mlflow.genai.Scorer method) register_model() (in module mlflow) register_prompt() (in module mlflow.genai) (mlflow.client.MlflowClient 方法) registered_model_permissions (mlflow.server.auth.entities.User property) registered_model_version (mlflow.models.model.ModelInfo property) RegisteredModel (class in mlflow.entities.model_registry) RegisteredModelAlias (class in mlflow.entities.model_registry) RegisteredModelCreatedPayload (class in mlflow.webhooks) RegisteredModelDeploymentJobState (class in mlflow.entities.model_registry) RegisteredModelPermission (class in mlflow.server.auth.entities) RegisteredModelSearch (class in mlflow.entities.model_registry) RegisteredModelTag (class in mlflow.entities.model_registry) relevance() (in module mlflow.metrics.genai) RelevanceToQuery (class in mlflow.genai.scorers) remove_agent() (mlflow.genai.ReviewApp method) remove_dataset_from_experiments() (in module mlflow.genai.datasets) (mlflow.client.MlflowClient 方法) rename_experiment() (mlflow.client.MlflowClient method) rename_registered_model() (mlflow.client.MlflowClient method) renewal_period (mlflow.gateway.config.Limit attribute) request (mlflow.entities.TraceData property) request_id (mlflow.entities.Span property) (mlflow.entities.TraceInfo 属性) request_metadata (mlflow.entities.TraceInfo property) request_preview (mlflow.entities.TraceInfo attribute) request_time (mlflow.entities.TraceInfo attribute) required (mlflow.types.ColSpec property) (mlflow.types.schema.Property 属性) (mlflow.types.TensorSpec property) required_columns (mlflow.genai.scorers.Completeness attribute) (mlflow.genai.scorers.Correctness 属性) (mlflow.genai.scorers.Equivalence 属性) (mlflow.genai.scorers.ExpectationsGuidelines 属性) (mlflow.genai.scorers.Guidelines 属性) (mlflow.genai.scorers.RelevanceToQuery 属性) (mlflow.genai.scorers.RetrievalGroundedness 属性) (mlflow.genai.scorers.RetrievalRelevance 属性) (mlflow.genai.scorers.RetrievalSufficiency 属性) (mlflow.genai.scorers.Safety 属性) (mlflow.genai.scorers.Summarization 属性) (mlflow.genai.scorers.ToolCallEfficiency 属性) required_input_names() (mlflow.types.Schema method) REQUIRED_PARAMETERS_CHANGED (mlflow.entities.model_registry.RegisteredModelDeploymentJobState attribute) REQUIREMENT_STRINGS mlflow-models-update-pip-requirements 命令行选项 RERANKER (mlflow.entities.SpanType attribute) reset() (in module mlflow.tracing) resize() (mlflow.Image method) Resource (class in mlflow.models) resource_id (mlflow.entities.GatewayEndpointBinding attribute) resource_type (mlflow.entities.GatewayEndpointBinding attribute) resources (mlflow.models.Model property) ResourceType (class in mlflow.models) Response (class in mlflow.types.responses_helpers) response (mlflow.entities.TraceData property) response_body (mlflow.entities.WebhookTestResult property) response_format (mlflow.entities.model_registry.PromptVersion property) response_preview (mlflow.entities.TraceInfo attribute) response_status (mlflow.entities.WebhookTestResult property)

ResponseCompletedEvent (class in mlflow.types.responses_helpers) ResponseError (class in mlflow.types.responses_helpers) ResponseErrorEvent (class in mlflow.types.responses_helpers) ResponseFunctionToolCall (class in mlflow.types.responses_helpers) ResponseInputTextParam (class in mlflow.types.responses_helpers) ResponseOutputItemDoneEvent (class in mlflow.types.responses_helpers) ResponseOutputMessage (class in mlflow.types.responses_helpers) ResponseOutputRefusal (class in mlflow.types.responses_helpers) ResponseOutputText (class in mlflow.types.responses_helpers) ResponseReasoningItem (class in mlflow.types.responses_helpers) responses_agent_output_reducer() (mlflow.pyfunc.ResponsesAgent static method) ResponsesAgent (class in mlflow.pyfunc) ResponsesAgentRequest (class in mlflow.types.responses) ResponsesAgentResponse (class in mlflow.types.responses) ResponsesAgentStreamEvent (class in mlflow.types.responses) ResponseTextAnnotationDeltaEvent (class in mlflow.types.responses_helpers) ResponseTextDeltaEvent (class in mlflow.types.responses_helpers) ResponseUsage (class in mlflow.types.responses_helpers) RestException restore_experiment() (mlflow.client.MlflowClient method) restore_run() (mlflow.client.MlflowClient method) RetrievalGroundedness (class in mlflow.genai.scorers) RetrievalRelevance (class in mlflow.genai.scorers) RetrievalSufficiency (class in mlflow.genai.scorers) retrieve_custom_metrics() (in module mlflow.metrics.genai) RETRIEVER (mlflow.entities.SpanType attribute) review_app_id (mlflow.genai.LabelingSession property) (mlflow.genai.ReviewApp 属性) ReviewApp (class in mlflow.genai) rmse() (in module mlflow.metrics) RoleAdherence (class in mlflow.genai.scorers.deepeval) RoleViolation (class in mlflow.genai.scorers.deepeval) rouge1() (in module mlflow.metrics) rouge2() (in module mlflow.metrics) rougeL() (in module mlflow.metrics) rougeLsum() (in module mlflow.metrics) RougeScore (class in mlflow.genai.scorers.ragas) RouteDestinationConfig (class in mlflow.gateway.config) routes (mlflow.gateway.config.GatewayConfig attribute) routing_strategy (mlflow.gateway.config.TrafficRouteConfig attribute) RubricsScore (class in mlflow.genai.scorers.ragas) Run (class in mlflow.entities) RUN (mlflow.entities.EntityAssociationType attribute) run() (in module mlflow) (in module mlflow.projects) (mlflow.genai.agent_server.AgentServer method) (mlflow.genai.Scorer method) run_id (mlflow.entities.Assessment attribute) (mlflow.entities.Metric 属性) (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.model_registry.ModelVersionDeploymentJobState property) (mlflow.entities.RunInfo 属性) (mlflow.models.EvaluationResult 属性) (mlflow.models.model.ModelInfo 属性) (mlflow.projects.SubmittedRun property) (mlflow.webhooks.ModelVersionCreatedPayload 属性) run_link (mlflow.entities.model_registry.ModelVersion property) run_local() (in module mlflow.deployments) (in module mlflow.sagemaker) run_name (mlflow.entities.RunInfo property) run_state (mlflow.entities.model_registry.ModelVersionDeploymentJobState property) RunData (class in mlflow.entities) RunInfo (class in mlflow.entities) RunInputs (class in mlflow.entities) RUNNING (mlflow.entities.RunStatus attribute) RunOperations (class in mlflow.utils.async_logging.run_operations) RunOutputs (class in mlflow.entities) RunStatus (class in mlflow.entities) RunTag (class in mlflow.entities)

S

Safety (class in mlflow.genai.scorers) SageMakerDeploymentClient (class in mlflow.sagemaker) sample_rate (mlflow.genai.Scorer property) (mlflow.genai.scorers.ScorerSamplingConfig 属性) (mlflow.genai.ScorerScheduleConfig 属性) save() (mlflow.Image method) (mlflow.models.EvaluationResult method) (mlflow.models.Model 方法) save_checkpoint() (mlflow.pytorch.MlflowModelCheckpointCallback method) save_explainer() (in module mlflow.shap) save_model() (in module mlflow.catboost) (模块 mlflow.dspy 中) (mlflow.h2o 模块中) (mlflow.johnsnowlabs 模块中) (mlflow.keras.save 模块中) (模块 mlflow.langchain 中) (模块 mlflow.lightgbm 中) (模块 mlflow.llama_index 中) (mlflow.onnx 模块中) (模块 mlflow.openai 中) (模块 mlflow.paddle 中) (mlflow.pmdarima 模块中) (mlflow.prophet 模块中) (mlflow.pyfunc 模块中) (模块 mlflow.pytorch 中) (mlflow.sentence_transformers 模块中) (模块 mlflow.sklearn 中) (mlflow.spacy 模块中) (模块 mlflow.spark 中) (模块 mlflow.statsmodels 中) (模块 mlflow.tensorflow 中) (模块 mlflow.transformers 中) (模块 mlflow.xgboost 中) saved_input_example_info (mlflow.models.Model property) (mlflow.models.model.ModelInfo 属性) SCHEDULED (mlflow.entities.RunStatus attribute) scheduled_scorer_name (mlflow.genai.ScorerScheduleConfig attribute) Schema (class in mlflow.types) schema (mlflow.data.dataset.Dataset property) (mlflow.data.huggingface_dataset.HuggingFaceDataset property) (mlflow.data.numpy_dataset.NumpyDataset property) (mlflow.data.pandas_dataset.PandasDataset property) (mlflow.data.polars_dataset.PolarsDataset 属性) (mlflow.data.polars_dataset.PolarsDataset.PolarsDatasetConfig 属性) (mlflow.data.spark_dataset.SparkDataset 属性) (mlflow.data.tensorflow_dataset.TensorFlowDataset property) (mlflow.entities.Dataset 属性) (mlflow.genai.datasets.EvaluationDataset 属性) schema_location (mlflow.entities.UCSchemaLocation property) schema_name (mlflow.entities.UCSchemaLocation attribute) Scorer (class in mlflow.genai) scorer (mlflow.genai.ScorerScheduleConfig attribute) scorer() (in module mlflow.genai) (in module mlflow.genai.scorers) scorer_id (mlflow.entities.ScorerVersion property) SCORER_JOB (mlflow.entities.GatewayResourceType attribute) scorer_name (mlflow.entities.ScorerVersion property) (mlflow.server.auth.entities.ScorerPermission 属性) scorer_permissions (mlflow.server.auth.entities.User property) scorer_version (mlflow.entities.ScorerVersion property) ScorerPermission (class in mlflow.server.auth.entities) ScorerSamplingConfig (class in mlflow.genai.scorers) ScorerScheduleConfig (class in mlflow.genai) ScorerVersion (class in mlflow.entities) search_assessments() (mlflow.entities.Trace method) search_datasets() (in module mlflow.genai) (模块 mlflow.genai.datasets 中) (mlflow.client.MlflowClient 方法) search_experiments() (in module mlflow) (mlflow.client.MlflowClient 方法) search_logged_models() (in module mlflow) (mlflow.client.MlflowClient 方法) search_model_versions() (in module mlflow) (mlflow.client.MlflowClient 方法) search_prompt_versions() (mlflow.client.MlflowClient method) search_prompts() (in module mlflow.genai) (mlflow.client.MlflowClient 方法) search_registered_models() (in module mlflow) (mlflow.client.MlflowClient 方法) search_runs() (in module mlflow) (mlflow.client.MlflowClient 方法) search_spans() (mlflow.entities.Trace method) search_traces() (in module mlflow) (mlflow.client.MlflowClient 方法) secret (mlflow.entities.Webhook property) secret_id (mlflow.entities.GatewayModelDefinition attribute) (mlflow.entities.GatewaySecretInfo 属性) secret_name (mlflow.entities.GatewayModelDefinition attribute) (mlflow.entities.GatewaySecretInfo 属性) serialize_as_json() (mlflow.MlflowException method) serialized_scorer (mlflow.entities.ScorerVersion property) serve() (mlflow.models.FlavorBackend method) SERVING_ENDPOINT (mlflow.models.ResourceType attribute) session_length_seconds (mlflow.gateway.config.AWSRole attribute) set_active_model() (in module mlflow) set_assigned_users() (mlflow.genai.LabelingSession method) set_attribute() (mlflow.entities.LiveSpan method) (mlflow.entities.NoOpSpan 方法) set_attributes() (mlflow.entities.LiveSpan method) (mlflow.entities.NoOpSpan 方法) set_databricks_monitoring_sql_warehouse_id() (in module mlflow.tracing) set_dataset_tags() (in module mlflow.genai) (模块 mlflow.genai.datasets 中) (mlflow.client.MlflowClient 方法) set_deployments_target() (in module mlflow.deployments) set_destination() (in module mlflow.tracing) set_experiment() (in module mlflow) set_experiment_tag() (in module mlflow) (mlflow.client.MlflowClient 方法) set_experiment_tags() (in module mlflow) set_experiment_trace_location() (in module mlflow.tracing) set_gateway_uri() (in module mlflow.gateway) set_inputs() (mlflow.entities.LiveSpan method) (mlflow.entities.NoOpSpan 方法) set_logged_model_tags() (in module mlflow) (mlflow.client.MlflowClient 方法) set_model() (in module mlflow.models) set_model_version_tag() (in module mlflow) (mlflow.client.MlflowClient 方法) set_outputs() (mlflow.entities.LiveSpan method) (mlflow.entities.NoOpSpan 方法) set_profile() (mlflow.genai.datasets.EvaluationDataset method)

set_prompt_alias() (in module mlflow.genai) (mlflow.client.MlflowClient 方法) set_prompt_model_config() (in module mlflow.genai) set_prompt_tag() (in module mlflow.genai) (mlflow.client.MlflowClient 方法) set_prompt_version_tag() (in module mlflow.genai) (mlflow.client.MlflowClient 方法) set_registered_model_alias() (mlflow.client.MlflowClient method) set_registered_model_tag() (mlflow.client.MlflowClient method) set_registry_uri() (in module mlflow) (模块 mlflow.config 中) set_request_headers() (in module mlflow.genai.agent_server) set_retriever_schema() (in module mlflow.models) set_signature() (in module mlflow.models) set_span_chat_tools() (in module mlflow.tracing) set_span_type() (mlflow.entities.LiveSpan method) set_status() (mlflow.entities.LiveSpan method) (mlflow.entities.NoOpSpan 方法) set_system_metrics_node_id() (in module mlflow) (模块 mlflow.config 中) (模块 mlflow.system_metrics 中) set_system_metrics_samples_before_logging() (in module mlflow) (模块 mlflow.config 中) (模块 mlflow.system_metrics 中) set_system_metrics_sampling_interval() (in module mlflow) (模块 mlflow.config 中) (模块 mlflow.system_metrics 中) set_tag() (in module mlflow) (mlflow.client.MlflowClient 方法) set_tags() (in module mlflow) set_terminated() (mlflow.client.MlflowClient method) set_trace_tag() (in module mlflow) (mlflow.client.MlflowClient 方法) set_tracking_uri() (in module mlflow) (模块 mlflow.config 中) setup_mlflow_git_based_version_tracking() (in module mlflow.genai.agent_server) shape (mlflow.types.ParamSpec property) (mlflow.types.TensorSpec property) should_autolog (mlflow.statsmodels.AutologHelpers attribute) signature (mlflow.models.Model property) (mlflow.models.model.ModelInfo 属性) source (mlflow.data.dataset.Dataset property) (mlflow.data.huggingface_dataset.HuggingFaceDataset property) (mlflow.data.numpy_dataset.NumpyDataset property) (mlflow.data.pandas_dataset.PandasDataset property) (mlflow.data.polars_dataset.PolarsDataset 属性) (mlflow.data.polars_dataset.PolarsDataset.PolarsDatasetConfig 属性) (mlflow.data.spark_dataset.SparkDataset 属性) (mlflow.data.tensorflow_dataset.TensorFlowDataset property) (mlflow.entities.Assessment attribute) (mlflow.entities.Dataset 属性) (mlflow.entities.DatasetRecord attribute) (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.genai.datasets.EvaluationDataset 属性) (mlflow.webhooks.ModelVersionCreatedPayload 属性) source_data (mlflow.entities.DatasetRecordSource attribute) source_id (mlflow.entities.AssessmentSource attribute) (mlflow.entities.DatasetRecord attribute) source_run_id (mlflow.entities.LoggedModel property) source_type (mlflow.data.polars_dataset.PolarsDataset.PolarsDatasetConfig attribute) (mlflow.entities.AssessmentSource attribute) (mlflow.entities.Dataset 属性) (mlflow.entities.DatasetRecord attribute) (mlflow.entities.DatasetRecordSource attribute) (mlflow.genai.datasets.EvaluationDataset 属性) SOURCE_TYPE_UNSPECIFIED (mlflow.entities.AssessmentSourceType attribute) SourceType (class in mlflow.entities) SOURCETYPE_TO_STRING (mlflow.entities.SourceType attribute) Span (class in mlflow.entities) span_id (mlflow.entities.Assessment attribute) (mlflow.entities.NoOpSpan property) (mlflow.entities.Span 属性) span_type (mlflow.entities.Span property) SpanEvent (class in mlflow.entities) spans (mlflow.entities.TraceData attribute) SpanStatus (class in mlflow.entities) SpanStatusCode (class in mlflow.entities) SpanType (class in mlflow.entities) SPARK_DATAFRAME_LIMIT (mlflow.data.evaluation_dataset.EvaluationDataset attribute) spark_udf() (in module mlflow.pyfunc) SparkDataset (class in mlflow.data.spark_dataset) SparkDatasetSource (class in mlflow.data.spark_dataset_source) SQL_WAREHOUSE (mlflow.models.ResourceType attribute) stack_trace (mlflow.entities.AssessmentError attribute) start() (mlflow.genai.Scorer method) start_run() (in module mlflow) start_span() (在 mlflow 模块中) (mlflow.client.MlflowClient 方法) start_span_no_context() (在 mlflow 模块中) start_time (mlflow.entities.RunInfo 属性) start_time_ns (mlflow.entities.NoOpSpan 属性) (mlflow.entities.Span 属性) start_trace() (mlflow.client.MlflowClient 方法) state (mlflow.entities.TraceInfo 属性) STATE_UNSPECIFIED (mlflow.entities.TraceState 属性) Status (mlflow.types.responses_helpers 类) status (mlflow.entities.LoggedModel 属性) (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.NoOpSpan property) (mlflow.entities.RunInfo 属性) (mlflow.entities.Span 属性) (mlflow.entities.TraceInfo 属性) (mlflow.entities.Webhook 属性) (mlflow.genai.Scorer 属性) status_code (mlflow.entities.SpanStatus 属性) status_message (mlflow.entities.LoggedModel 属性) (mlflow.entities.model_registry.ModelVersion 属性) step (mlflow.entities.LoggedModelOutput 属性) (mlflow.entities.Metric 属性) StepEfficiency (mlflow.genai.scorers.deepeval 类) stop() (mlflow.genai.Scorer 方法) stop_sequences (mlflow.entities.model_registry.PromptModelConfig 属性) stream() (在 mlflow.genai.agent_server 模块中) string (mlflow.types.DataType 属性) StringPresence (mlflow.genai.scorers.ragas 类) SubmittedRun (mlflow.projects 类) success (mlflow.entities.WebhookTestResult 属性) Summarization (mlflow.genai.scorers 类) (类 mlflow.genai.scorers.deepeval 中) SummarizationScore (mlflow.genai.scorers.ragas 类) Summary (mlflow.types.responses_helpers 类) sync() (mlflow.genai.LabelingSession 方法)

T

TABLE (mlflow.models.ResourceType 属性) tables (mlflow.models.EvaluationResult 属性) tags (mlflow.entities.DatasetInput 属性) (mlflow.entities.DatasetRecord attribute) (mlflow.entities.Experiment 属性) (mlflow.entities.GatewayEndpoint 属性) (mlflow.entities.LoggedModel 属性) (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.entities.model_registry.RegisteredModel 属性) (mlflow.entities.Prompt 属性) (mlflow.entities.RunData 属性) (mlflow.entities.TraceInfo 属性) (mlflow.genai.datasets.EvaluationDataset 属性) (mlflow.models.model.ModelInfo 属性) (mlflow.webhooks.ModelVersionCreatedPayload 属性) (mlflow.webhooks.PromptCreatedPayload 属性) (mlflow.webhooks.PromptVersionCreatedPayload 属性) (mlflow.webhooks.RegisteredModelCreatedPayload 属性) tags() (mlflow.entities.model_registry.ModelVersionSearch 方法) (mlflow.entities.model_registry.RegisteredModelSearch 方法) target_help() (在 mlflow.sagemaker 模块中) target_uri (mlflow.models.Resource 属性) targets (mlflow.data.huggingface_dataset.HuggingFaceDataset 属性) (mlflow.data.numpy_dataset.NumpyDataset property) (mlflow.data.pandas_dataset.PandasDataset property) (mlflow.data.polars_dataset.PolarsDataset 属性) (mlflow.data.spark_dataset.SparkDataset 属性) (mlflow.data.tensorflow_dataset.TensorFlowDataset property) targets_name (mlflow.data.evaluation_dataset.EvaluationDataset 属性) TASK (mlflow.entities.SpanType 属性) task_type (mlflow.gateway.config.TrafficRouteConfig 属性) TaskCompletion (mlflow.genai.scorers.deepeval 类) temperature (mlflow.entities.model_registry.PromptModelConfig 属性) (mlflow.genai.optimize.LLMParams attribute) template (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.webhooks.PromptVersionCreatedPayload 属性) TensorFlowDataset (mlflow.data.tensorflow_dataset 类) TensorSpec (mlflow.types 类) terminate_transform_job() (在 mlflow.sagemaker 模块中) test_webhook() (mlflow.client.MlflowClient 方法) TextContentPart (mlflow.types.chat 类) threshold (mlflow.models.MetricThreshold 属性) timestamp (mlflow.entities.Metric 属性) (mlflow.entities.SpanEvent 属性) timestamp_ms (mlflow.entities.TraceInfo 属性) title (mlflow.genai.label_schemas.LabelSchema 属性) to_array() (mlflow.Image 方法) to_df() (mlflow.genai.datasets.EvaluationDataset 方法) to_dict() (mlflow.data.dataset.Dataset 方法) (mlflow.data.dataset_source.DatasetSource 方法) (mlflow.data.delta_dataset_source.DeltaDatasetSource 方法) (mlflow.data.filesystem_dataset_source.FileSystemDatasetSource 方法) (mlflow.data.http_dataset_source.HTTPDatasetSource 方法) (mlflow.data.huggingface_dataset.HuggingFaceDataset 方法) (mlflow.data.huggingface_dataset_source.HuggingFaceDatasetSource 方法) (mlflow.data.numpy_dataset.NumpyDataset 方法) (mlflow.data.pandas_dataset.PandasDataset 方法) (mlflow.data.polars_dataset.PolarsDataset 方法) (mlflow.data.spark_dataset.SparkDataset 方法) (mlflow.data.spark_dataset_source.SparkDatasetSource 方法) (mlflow.data.tensorflow_dataset.TensorFlowDataset 方法) (mlflow.entities.DatasetRecord 方法) (mlflow.entities.DatasetRecordSource method) (mlflow.entities.Document 方法) (mlflow.entities.InferenceTableLocation 方法) (mlflow.entities.MlflowExperimentLocation 方法) (mlflow.entities.model_registry.PromptModelConfig 方法) (mlflow.entities.Span 方法) (mlflow.entities.Trace 方法) (mlflow.entities.TraceData 方法) (mlflow.entities.TraceInfo 方法) (mlflow.entities.TraceLocation 方法) (mlflow.entities.UCSchemaLocation 方法) (mlflow.genai.datasets.EvaluationDataset 方法) (mlflow.models.Model 方法) (mlflow.models.ModelConfig 方法) (mlflow.models.ModelSignature 方法) (mlflow.models.Resource 方法) (mlflow.types.ParamSchema 方法) (mlflow.types.Schema 方法) (mlflow.types.schema.AnyType 方法) (mlflow.types.schema.Array 方法) (mlflow.types.schema.Map 方法) (mlflow.types.schema.Object 方法) (mlflow.types.schema.Property 方法) to_dictionary() (mlflow.entities.Assessment 方法) (mlflow.entities.AssessmentError 方法) (mlflow.entities.AssessmentSource 方法) (mlflow.entities.Dataset 方法) (mlflow.entities.DatasetInput 方法) (mlflow.entities.LoggedModel 方法) (mlflow.entities.LoggedModelOutput 方法) (mlflow.entities.Metric 方法) (mlflow.entities.Run 方法) (mlflow.entities.RunData 方法) (mlflow.entities.RunInputs 方法) (mlflow.entities.RunOutputs 方法) to_endpoint() (mlflow.gateway.config.EndpointConfig 方法) to_evaluation_dataset() (mlflow.data.huggingface_dataset.HuggingFaceDataset 方法) (mlflow.data.tensorflow_dataset.TensorFlowDataset 方法) (mlflow.genai.datasets.EvaluationDataset 方法) to_int() (mlflow.entities.LoggedModelStatus 方法) to_json() (mlflow.data.dataset.Dataset 方法) (mlflow.data.dataset_source.DatasetSource 方法) (mlflow.deployments.PredictionsResponse 方法) (mlflow.entities.Trace 方法) (mlflow.models.Model 方法) (mlflow.server.auth.entities.ExperimentPermission 方法) (mlflow.server.auth.entities.RegisteredModelPermission 方法) (mlflow.server.auth.entities.ScorerPermission 方法) (mlflow.server.auth.entities.User 方法) (mlflow.types.ParamSchema 方法) (mlflow.types.Schema 方法) to_list() (mlflow.Image 方法) (mlflow.store.entities.PagedList 方法) to_numpy() (mlflow.types.DataType 方法)

to_otel_proto() (mlflow.entities.Span 方法) (mlflow.entities.SpanEvent 方法) to_otel_proto_status_code_name() (mlflow.entities.SpanStatusCode 方法) to_pandas() (mlflow.types.DataType 方法) to_pandas_dataframe_row() (mlflow.entities.Trace 方法) to_pil() (mlflow.Image 方法) to_predict_fn() (在 mlflow.genai 模块中) to_proto() (mlflow.entities.Assessment 方法) (mlflow.entities.AssessmentError 方法) (mlflow.entities.AssessmentSource 方法) (mlflow.entities.Dataset 方法) (mlflow.entities.DatasetInput 方法) (mlflow.entities.DatasetRecord 方法) (mlflow.entities.DatasetRecordSource method) (mlflow.entities.Experiment 方法) (mlflow.entities.ExperimentTag 方法) (mlflow.entities.FileInfo 方法) (mlflow.entities.GatewayEndpoint 方法) (mlflow.entities.GatewayEndpointBinding 方法) (mlflow.entities.GatewayEndpointModelMapping 方法) (mlflow.entities.GatewayEndpointTag 方法) (mlflow.entities.GatewayModelDefinition 方法) (mlflow.entities.GatewaySecretInfo 方法) (mlflow.entities.InferenceTableLocation 方法) (mlflow.entities.InputTag 方法) (mlflow.entities.LoggedModel 方法) (mlflow.entities.LoggedModelInput 方法) (mlflow.entities.LoggedModelOutput 方法) (mlflow.entities.LoggedModelParameter 方法) (mlflow.entities.LoggedModelStatus 方法) (mlflow.entities.LoggedModelTag 方法) (mlflow.entities.Metric 方法) (mlflow.entities.MlflowExperimentLocation 方法) (mlflow.entities.model_registry.ModelVersion 方法) (mlflow.entities.model_registry.ModelVersionDeploymentJobState 方法) (mlflow.entities.model_registry.ModelVersionTag 方法) (mlflow.entities.model_registry.RegisteredModel 方法) (mlflow.entities.model_registry.RegisteredModelAlias 方法) (mlflow.entities.model_registry.RegisteredModelTag 方法) (mlflow.entities.Param 方法) (mlflow.entities.Run 方法) (mlflow.entities.RunData 方法) (mlflow.entities.RunInfo 方法) (mlflow.entities.RunInputs 方法) (mlflow.entities.RunOutputs 方法) (mlflow.entities.RunTag 方法) (mlflow.entities.ScorerVersion 方法) (mlflow.entities.Trace 方法) (mlflow.entities.TraceInfo 方法) (mlflow.entities.TraceLocation 方法) (mlflow.entities.TraceLocationType 方法) (mlflow.entities.TraceState 方法) (mlflow.entities.ViewType类方法) (mlflow.entities.Webhook 方法) (mlflow.entities.WebhookEvent 方法) (mlflow.entities.WebhookStatus 方法) (mlflow.entities.WebhookTestResult 方法) (mlflow.genai.datasets.EvaluationDataset 方法) to_python() (mlflow.types.DataType 方法) to_single_brace_format() (mlflow.entities.model_registry.PromptVersion 方法) to_string() (mlflow.entities.model_registry.RegisteredModelDeploymentJobState 静态方法) (mlflow.entities.RunStatus 静态方法) (mlflow.entities.SourceType 静态方法) (mlflow.entities.ViewType类方法) to_tool_definition() (mlflow.types.llm.FunctionToolDefinition 方法) to_yaml() (mlflow.models.Model 方法) TOGETHERAI (mlflow.gateway.config.Provider 属性) togetherai_api_key (mlflow.gateway.config.TogetherAIConfig 属性) TogetherAIConfig (mlflow.gateway.config 类) token_count() (在 mlflow.metrics 模块中) token_usage (mlflow.entities.TraceInfo 属性) TokenLogProb (mlflow.types.llm 类) TokenUsageStats (mlflow.types.llm 类) Tool (mlflow.types.responses_helpers 类) TOOL (mlflow.entities.SpanType 属性) ToolCall (mlflow.types.chat 类) (类 mlflow.types.llm 中) ToolCallDelta (mlflow.types.chat 类) ToolCallEfficiency (mlflow.genai.scorers 类) ToolChoice (mlflow.types.responses_helpers 类) ToolChoiceFunction (mlflow.types.responses_helpers 类) ToolCorrectness (mlflow.genai.scorers.deepeval 类) ToolDefinition (mlflow.types.llm 类) ToolParamsSchema (mlflow.types.llm 类) ToolUse (mlflow.genai.scorers.deepeval 类) top_k (mlflow.entities.model_registry.PromptModelConfig 属性) top_p (mlflow.entities.model_registry.PromptModelConfig 属性) TopicAdherence (mlflow.genai.scorers.deepeval 类) TopTokenLogProb (mlflow.types.llm 类) Toxicity (mlflow.genai.scorers.deepeval 类) toxicity() (在 mlflow.metrics 模块中) Trace (mlflow.entities 类) TRACE (mlflow.entities.DatasetRecordSourceType 属性) (mlflow.entities.EntityAssociationType 属性) trace() (在 mlflow 模块中) trace_id (mlflow.entities.Assessment 属性) (mlflow.entities.NoOpSpan property) (mlflow.entities.Span 属性) (mlflow.entities.TraceInfo 属性) trace_location (mlflow.entities.TraceInfo 属性) TRACE_LOCATION_TYPE_UNSPECIFIED (mlflow.entities.TraceLocationType 属性) trace_metadata (mlflow.entities.TraceInfo 属性) TraceData (mlflow.entities 类) TraceInfo (mlflow.entities 类) TraceLocation (mlflow.entities 类) TraceLocationType (mlflow.entities 类) TraceState (mlflow.entities 类) tracking_uri (mlflow.client.MlflowClient 属性) traffic_percentage (mlflow.gateway.config.RouteDestinationConfig 属性) TrafficRouteConfig (mlflow.gateway.config 类) transition_model_version_stage() (mlflow.client.MlflowClient 方法) Truncation (mlflow.types.responses_helpers 类) TurnRelevancy (mlflow.genai.scorers.deepeval 类) type (mlflow.entities.TraceLocation 属性) (mlflow.genai.label_schemas.LabelSchema attribute) (mlflow.models.Resource 属性) (mlflow.types.ColSpec property) (mlflow.types.TensorSpec property)

U

UC_CONNECTION (mlflow.models.ResourceType 属性) uc_schema (mlflow.entities.TraceLocation 属性) UC_SCHEMA (mlflow.entities.TraceLocationType 属性) UCSchemaLocation (mlflow.entities 类) UNKNOWN (mlflow.entities.SourceType 属性) (mlflow.entities.SpanType 属性) (mlflow.genai.judges.CategoricalRating 属性) unlink_traces_from_run() (mlflow.client.MlflowClient 方法) UNSET (mlflow.entities.SpanStatusCode 属性) unset_experiment_trace_location() (在 mlflow.tracing 模块中) UNSPECIFIED (mlflow.entities.DatasetRecordSourceType 属性) (mlflow.entities.LoggedModelStatus 属性) unwrap_python_model() (mlflow.pyfunc.PyFuncModel 方法) update() (mlflow.genai.Scorer 方法) update_assessment() (在 mlflow 模块中) update_current_trace() (在 mlflow 模块中) update_deployment() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) update_endpoint() (mlflow.deployments.BaseDeploymentClient 方法) (mlflow.deployments.DatabricksDeploymentClient 方法) (mlflow.deployments.MlflowDeploymentClient 方法) (mlflow.deployments.OpenAIDeploymentClient 方法) (mlflow.sagemaker.SageMakerDeploymentClient 方法) update_endpoint_ai_gateway() (mlflow.deployments.DatabricksDeploymentClient 方法) update_endpoint_config() (mlflow.deployments.DatabricksDeploymentClient 方法) update_endpoint_rate_limits() (mlflow.deployments.DatabricksDeploymentClient 方法) update_endpoint_tags() (mlflow.deployments.DatabricksDeploymentClient 方法) update_experiment_permission() (mlflow.server.auth.client.AuthServiceClient 方法)

update_model_requirements() (在 mlflow.models 模块中) update_model_version() (mlflow.client.MlflowClient 方法) update_registered_model() (mlflow.client.MlflowClient 方法) update_registered_model_permission() (mlflow.server.auth.client.AuthServiceClient 方法) update_run() (mlflow.client.MlflowClient 方法) update_scorer_permission() (mlflow.server.auth.client.AuthServiceClient 方法) update_signature_for_type_hint_from_example() (在 mlflow.pyfunc 模块中) update_user_admin() (mlflow.server.auth.client.AuthServiceClient 方法) update_user_password() (mlflow.server.auth.client.AuthServiceClient 方法) update_webhook() (mlflow.client.MlflowClient 方法) URI mlflow-run 命令行选项 uri (mlflow.data.filesystem_dataset_source.FileSystemDatasetSource 属性) (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.models.EvaluationArtifact 属性) URL mlflow-db-upgrade 命令行选项 url (mlflow.data.http_dataset_source.HTTPDatasetSource 属性) (mlflow.entities.Webhook 属性) (mlflow.genai.LabelingSession 属性) (mlflow.genai.ReviewApp 属性) (mlflow.types.chat.ImageUrl 属性) User (mlflow.server.auth.entities 类) user_id (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.entities.RunInfo 属性) (mlflow.server.auth.entities.ExperimentPermission 属性) (mlflow.server.auth.entities.RegisteredModelPermission property) (mlflow.server.auth.entities.ScorerPermission 属性) UserFrustration (mlflow.genai.scorers 类) username (mlflow.server.auth.entities.User 属性) utc_time_created (mlflow.models.model.ModelInfo 属性)

V

valid (mlflow.entities.Assessment 属性) validate_ai21labs_api_key() (mlflow.gateway.config.AI21LabsConfig 类方法) validate_anthropic_api_key() (mlflow.gateway.config.AnthropicConfig 类方法) validate_cohere_api_key() (mlflow.gateway.config.CohereConfig 类方法) validate_columns() (mlflow.genai.scorers.Correctness 方法) (mlflow.genai.scorers.Equivalence 方法) (mlflow.genai.scorers.ExpectationsGuidelines 方法) (mlflow.genai.scorers.RetrievalSufficiency 方法) validate_config() (mlflow.gateway.config.Model 类方法) validate_endpoint_name() (mlflow.gateway.config.EndpointConfig 类方法) validate_evaluation_results() (在 mlflow 模块中) validate_field_compatibility() (mlflow.gateway.config.OpenAIConfig 类方法) validate_gemini_api_key() (mlflow.gateway.config.GeminiConfig 类方法) validate_limit() (mlflow.gateway.config.EndpointConfig 类方法) validate_mistral_api_key() (mlflow.gateway.config.MistralConfig 类方法) validate_model() (mlflow.gateway.config.EndpointConfig 类方法) validate_mosaicml_api_key() (mlflow.gateway.config.MosaicMLConfig 类方法) validate_openai_api_key() (mlflow.gateway.config.OpenAIConfig 类方法) validate_palm_api_key() (mlflow.gateway.config.PaLMConfig 类方法) validate_provider() (mlflow.gateway.config.Model 类方法) validate_route_type() (mlflow.gateway.config.EndpointConfig 类方法) validate_route_type_and_model_name() (mlflow.gateway.config.EndpointConfig 方法) validate_schema() (在 mlflow.models 模块中) validate_serving_input() (在 mlflow.models 模块中) validate_togetherai_api_key() (mlflow.gateway.config.TogetherAIConfig 类方法) validate_type_and_shape() (mlflow.types.ParamSpec 类方法) value (mlflow.entities.Expectation 属性) (mlflow.entities.ExperimentTag 属性) (mlflow.entities.Feedback 属性) (mlflow.entities.GatewayEndpointTag 属性) (mlflow.entities.InputTag 属性) (mlflow.entities.LoggedModelParameter 属性) (mlflow.entities.LoggedModelTag 属性) (mlflow.entities.Metric 属性) (mlflow.entities.model_registry.ModelVersionTag 属性) (mlflow.entities.model_registry.RegisteredModelTag 属性) (mlflow.entities.Param 属性) (mlflow.entities.RunTag 属性) (mlflow.webhooks.ModelVersionTagSetPayload 属性) (mlflow.webhooks.PromptTagSetPayload 属性) (mlflow.webhooks.PromptVersionTagSetPayload 属性)

value_type (mlflow.types.schema.Map 属性) values() (mlflow.gateway.config.Provider 类方法) variables (mlflow.entities.model_registry.PromptVersion 属性) VECTOR_SEARCH_INDEX (mlflow.models.ResourceType 属性) verbose (mlflow.genai.optimize.OptimizerConfig 属性) version (mlflow.entities.model_registry.ModelVersion 属性) (mlflow.entities.model_registry.PromptVersion 属性) (mlflow.entities.model_registry.RegisteredModelAlias 属性) (mlflow.webhooks.ModelVersionAliasCreatedPayload 属性) (mlflow.webhooks.ModelVersionCreatedPayload 属性) (mlflow.webhooks.ModelVersionTagDeletedPayload 属性) (mlflow.webhooks.ModelVersionTagSetPayload 属性) (mlflow.webhooks.PromptAliasCreatedPayload 属性) (mlflow.webhooks.PromptVersionCreatedPayload 属性) (mlflow.webhooks.PromptVersionTagDeletedPayload 属性) (mlflow.webhooks.PromptVersionTagSetPayload 属性) view_type_to_stages() (mlflow.entities.LifecycleStage 类方法) ViewType (mlflow.entities 类) VIRTUALENV (mlflow.pyfunc.EnvType 属性)

W

wait() (mlflow.projects.SubmittedRun 方法) (mlflow.utils.async_logging.run_operations.RunOperations 方法) Webhook (mlflow.entities 类) webhook_id (mlflow.entities.Webhook 属性)

WebhookEvent (mlflow.entities 类) WebhookStatus (mlflow.entities 类) WebhookTestResult (mlflow.entities 类) weight (mlflow.entities.GatewayEndpointModelMapping 属性) WORKFLOW (mlflow.entities.SpanType 属性)

Y

YES (mlflow.genai.judges.CategoricalRating 属性)