1.21.0
MLflow
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Tutorials and Examples
Concepts
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MLflow Projects
MLflow Models
MLflow Model Registry
MLflow Plugins
Command-Line Interface
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Python API
R API
Java API
REST API
Contribute
Documentation
Index
Edit on GitHub
Index
Symbols
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C
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D
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E
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F
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G
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H
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I
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J
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K
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L
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M
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N
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P
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R
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S
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T
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U
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V
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W
Symbols
--accept <accept>
mlflow-sagemaker-deploy-transform-job command line option
--app-name <app_name>
mlflow-sagemaker-delete command line option
mlflow-sagemaker-deploy command line option
--archive
mlflow-sagemaker-delete command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-terminate-transform-job command line option
--artifact-location <artifact_location>
mlflow-experiments-create command line option
--artifact-path <artifact_path>
mlflow-artifacts-download command line option
mlflow-artifacts-list command line option
mlflow-artifacts-log-artifact command line option
mlflow-artifacts-log-artifacts command line option
--artifact-uri <artifact_uri>
mlflow-artifacts-download command line option
--assemble-with <assemble_with>
mlflow-sagemaker-deploy-transform-job command line option
--async
mlflow-sagemaker-delete command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-terminate-transform-job command line option
--backend <BACKEND>
mlflow-run command line option
--backend-config <FILE>
mlflow-run command line option
--backend-store-uri <PATH>
mlflow-gc command line option
mlflow-server command line option
mlflow-ui command line option
--bucket <bucket>
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
--build
mlflow-sagemaker-build-and-push-container command line option
--compression-type <compression_type>
mlflow-sagemaker-deploy-transform-job command line option
--config <NAME=VALUE>
mlflow-deployments-create command line option
mlflow-deployments-run-local command line option
mlflow-deployments-update command line option
--container <container>
mlflow-sagemaker-build-and-push-container command line option
--content-type <content_type>
mlflow-models-predict command line option
mlflow-sagemaker-deploy-transform-job command line option
--default-artifact-root <URI>
mlflow-server command line option
mlflow-ui command line option
--description <description>
mlflow-azureml-build-image command line option
--docker-args <NAME=VALUE>
mlflow-run command line option
--entry-point <NAME>
mlflow-run command line option
--execution-role-arn <execution_role_arn>
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
--experiment-id <experiment_id>
mlflow-experiments-csv command line option
mlflow-experiments-delete command line option
mlflow-experiments-rename command line option
mlflow-experiments-restore command line option
mlflow-run command line option
mlflow-runs-list command line option
--experiment-name <experiment_name>
mlflow-experiments-create command line option
mlflow-run command line option
--expose-prometheus <expose_prometheus>
mlflow-server command line option
--filename <filename>
mlflow-experiments-csv command line option
--flavor <flavor>
mlflow-deployments-create command line option
mlflow-deployments-run-local command line option
mlflow-deployments-update command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
mlflow-sagemaker-run-local command line option
--gunicorn-opts <gunicorn_opts>
mlflow-server command line option
--host <HOST>
mlflow-models-serve command line option
mlflow-server command line option
mlflow-ui command line option
--image <image>
mlflow-sagemaker-run-local command line option
--image-name <image_name>
mlflow-azureml-build-image command line option
--image-url <image_url>
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
--input-data-type <input_data_type>
mlflow-sagemaker-deploy-transform-job command line option
--input-filter <input_filter>
mlflow-sagemaker-deploy-transform-job command line option
--input-path <input_path>
mlflow-deployments-explain command line option
mlflow-deployments-predict command line option
mlflow-models-predict command line option
--input-uri <input_uri>
mlflow-sagemaker-deploy-transform-job command line option
--install-mlflow
mlflow-models-build-docker command line option
mlflow-models-predict command line option
mlflow-models-prepare-env command line option
mlflow-models-serve command line option
--instance-count <instance_count>
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
--instance-type <instance_type>
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
--job-name <job_name>
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-terminate-transform-job command line option
--join-resource <join_resource>
mlflow-sagemaker-deploy-transform-job command line option
--json-format <json_format>
mlflow-models-predict command line option
--local-dir <local_dir>
mlflow-artifacts-log-artifacts command line option
--local-file <local_file>
mlflow-artifacts-log-artifact command line option
--mlflow-home <PATH>
mlflow-azureml-build-image command line option
mlflow-sagemaker-build-and-push-container command line option
--mode <mode>
mlflow-sagemaker-deploy command line option
--model-name <model_name>
mlflow-azureml-build-image command line option
mlflow-sagemaker-push-model command line option
--model-uri <URI>
mlflow-azureml-build-image command line option
mlflow-deployments-create command line option
mlflow-deployments-run-local command line option
mlflow-deployments-update command line option
mlflow-models-build-docker command line option
mlflow-models-predict command line option
mlflow-models-prepare-env command line option
mlflow-models-serve command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
mlflow-sagemaker-run-local command line option
--name <name>
mlflow-deployments-create command line option
mlflow-deployments-delete command line option
mlflow-deployments-explain command line option
mlflow-deployments-get command line option
mlflow-deployments-predict command line option
mlflow-deployments-run-local command line option
mlflow-deployments-update command line option
mlflow-models-build-docker command line option
--new-name <new_name>
mlflow-experiments-rename command line option
--no-build
mlflow-sagemaker-build-and-push-container command line option
--no-conda
mlflow-models-predict command line option
mlflow-models-prepare-env command line option
mlflow-models-serve command line option
mlflow-run command line option
--no-push
mlflow-sagemaker-build-and-push-container command line option
--output-filter <output_filter>
mlflow-sagemaker-deploy-transform-job command line option
--output-path <output_path>
mlflow-deployments-explain command line option
mlflow-deployments-predict command line option
mlflow-models-predict command line option
mlflow-sagemaker-deploy-transform-job command line option
--param-list <NAME=VALUE>
mlflow-run command line option
--port <port>
mlflow-models-serve command line option
mlflow-sagemaker-run-local command line option
mlflow-server command line option
mlflow-ui command line option
--push
mlflow-sagemaker-build-and-push-container command line option
--region-name <region_name>
mlflow-sagemaker-delete command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
mlflow-sagemaker-terminate-transform-job command line option
--run-id <RUN_ID>
mlflow-run command line option
--run-id <run_id>
mlflow-artifacts-download command line option
mlflow-artifacts-list command line option
mlflow-artifacts-log-artifact command line option
mlflow-artifacts-log-artifacts command line option
mlflow-runs-delete command line option
mlflow-runs-describe command line option
mlflow-runs-restore command line option
--run-ids <run_ids>
mlflow-gc command line option
--split-type <split_type>
mlflow-sagemaker-deploy-transform-job command line option
--static-prefix <static_prefix>
mlflow-server command line option
--storage-dir <storage_dir>
mlflow-run command line option
--subscription-id <subscription_id>
mlflow-azureml-build-image command line option
--tags <tags>
mlflow-azureml-build-image command line option
--target <target>
mlflow-deployments-create command line option
mlflow-deployments-delete command line option
mlflow-deployments-explain command line option
mlflow-deployments-get command line option
mlflow-deployments-help command line option
mlflow-deployments-list command line option
mlflow-deployments-predict command line option
mlflow-deployments-run-local command line option
mlflow-deployments-update command line option
--timeout <timeout>
mlflow-sagemaker-delete command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-terminate-transform-job command line option
--version
mlflow command line option
--version <VERSION>
mlflow-run command line option
--view <view>
mlflow-experiments-list command line option
mlflow-runs-list command line option
--vpc-config <vpc_config>
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
--waitress-opts <waitress_opts>
mlflow-server command line option
--workers <workers>
mlflow-models-serve command line option
mlflow-server command line option
--workspace-name <workspace_name>
mlflow-azureml-build-image command line option
-A
mlflow-run command line option
-a
mlflow-artifacts-download command line option
mlflow-artifacts-list command line option
mlflow-artifacts-log-artifact command line option
mlflow-artifacts-log-artifacts command line option
mlflow-sagemaker-delete command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
-ar
mlflow-sagemaker-delete command line option
mlflow-sagemaker-deploy command line option
-b
mlflow-run command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
-C
mlflow-deployments-create command line option
mlflow-deployments-run-local command line option
mlflow-deployments-update command line option
-c
mlflow-run command line option
mlflow-sagemaker-build-and-push-container command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
-d
mlflow-azureml-build-image command line option
-e
mlflow-run command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
-f
mlflow-deployments-create command line option
mlflow-deployments-run-local command line option
mlflow-deployments-update command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
mlflow-sagemaker-run-local command line option
-h
mlflow-models-serve command line option
mlflow-server command line option
mlflow-ui command line option
-I
mlflow-deployments-explain command line option
mlflow-deployments-predict command line option
-i
mlflow-azureml-build-image command line option
mlflow-models-predict command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
mlflow-sagemaker-run-local command line option
-j
mlflow-models-predict command line option
mlflow-sagemaker-deploy-transform-job command line option
-l
mlflow-artifacts-log-artifact command line option
mlflow-artifacts-log-artifacts command line option
mlflow-experiments-create command line option
-m
mlflow-azureml-build-image command line option
mlflow-deployments-create command line option
mlflow-deployments-run-local command line option
mlflow-deployments-update command line option
mlflow-models-build-docker command line option
mlflow-models-predict command line option
mlflow-models-prepare-env command line option
mlflow-models-serve command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
mlflow-sagemaker-run-local command line option
-n
mlflow-azureml-build-image command line option
mlflow-experiments-create command line option
mlflow-models-build-docker command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
mlflow-sagemaker-terminate-transform-job command line option
-O
mlflow-deployments-explain command line option
mlflow-deployments-predict command line option
-o
mlflow-experiments-csv command line option
mlflow-models-predict command line option
mlflow-sagemaker-deploy-transform-job command line option
-P
mlflow-run command line option
-p
mlflow-models-serve command line option
mlflow-sagemaker-run-local command line option
mlflow-server command line option
mlflow-ui command line option
-r
mlflow-artifacts-download command line option
mlflow-artifacts-list command line option
mlflow-artifacts-log-artifact command line option
mlflow-artifacts-log-artifacts command line option
mlflow-sagemaker-delete command line option
mlflow-sagemaker-terminate-transform-job command line option
-s
mlflow-azureml-build-image command line option
mlflow-sagemaker-deploy-transform-job command line option
-t
mlflow-azureml-build-image command line option
mlflow-deployments-create command line option
mlflow-deployments-delete command line option
mlflow-deployments-explain command line option
mlflow-deployments-get command line option
mlflow-deployments-help command line option
mlflow-deployments-list command line option
mlflow-deployments-predict command line option
mlflow-deployments-run-local command line option
mlflow-deployments-update command line option
mlflow-models-predict command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
-u
mlflow-artifacts-download command line option
mlflow-sagemaker-deploy-transform-job command line option
-v
mlflow-experiments-list command line option
mlflow-run command line option
mlflow-runs-list command line option
mlflow-sagemaker-deploy command line option
mlflow-sagemaker-deploy-transform-job command line option
mlflow-sagemaker-push-model command line option
-w
mlflow-azureml-build-image command line option
mlflow-models-serve command line option
mlflow-server command line option
-x
mlflow-experiments-csv command line option
mlflow-experiments-delete command line option
mlflow-experiments-rename command line option
mlflow-experiments-restore command line option
A
ACTIVE (mlflow.entities.LifecycleStage attribute)
ACTIVE_ONLY (mlflow.entities.ViewType attribute)
active_run() (in module mlflow)
ActiveRun (class in mlflow)
add_flavor() (mlflow.models.Model method)
add_to_model() (in module mlflow.mleap)
(in module mlflow.pyfunc)
ALL (mlflow.entities.ViewType attribute)
all_status() (mlflow.entities.RunStatus static method)
artifact_location() (mlflow.entities.Experiment property)
artifact_uri() (mlflow.entities.RunInfo property)
artifacts() (mlflow.pyfunc.PythonModelContext property)
as_spark_schema() (mlflow.types.Schema method)
autolog() (in module mlflow)
(in module mlflow.fastai)
(in module mlflow.gluon)
(in module mlflow.keras)
(in module mlflow.lightgbm)
(in module mlflow.paddle)
(in module mlflow.pyspark.ml)
(in module mlflow.pytorch)
(in module mlflow.sklearn)
(in module mlflow.spark)
(in module mlflow.statsmodels)
(in module mlflow.tensorflow)
(in module mlflow.xgboost)
AutologHelpers (class in mlflow.statsmodels)
B
BaseDeploymentClient (class in mlflow.deployments)
binary (mlflow.types.DataType attribute)
boolean (mlflow.types.DataType attribute)
build_image() (in module mlflow.azureml)
C
can_build_image() (mlflow.models.FlavorBackend method)
can_score_model() (mlflow.models.FlavorBackend method)
cancel() (mlflow.projects.SubmittedRun method)
ColSpec (class in mlflow.types)
column_names() (mlflow.types.Schema method)
column_types() (mlflow.types.Schema method)
columns() (mlflow.types.Schema property)
create_deployment() (mlflow.deployments.BaseDeploymentClient method)
create_experiment() (in module mlflow)
(mlflow.tracking.MlflowClient method)
create_model_version() (mlflow.tracking.MlflowClient method)
create_registered_model() (mlflow.tracking.MlflowClient method)
create_run() (mlflow.tracking.MlflowClient method)
creation_timestamp() (mlflow.entities.model_registry.ModelVersion property)
(mlflow.entities.model_registry.RegisteredModel property)
current_stage() (mlflow.entities.model_registry.ModelVersion property)
D
data() (mlflow.entities.Run property)
DataType (class in mlflow.types)
datetime (mlflow.types.DataType attribute)
DEFAULT_EXPERIMENT_NAME (mlflow.entities.Experiment attribute)
delete() (in module mlflow.sagemaker)
delete_deployment() (mlflow.deployments.BaseDeploymentClient method)
delete_experiment() (in module mlflow)
(mlflow.tracking.MlflowClient method)
delete_model_version() (mlflow.tracking.MlflowClient method)
delete_model_version_tag() (mlflow.tracking.MlflowClient method)
delete_registered_model() (mlflow.tracking.MlflowClient method)
delete_registered_model_tag() (mlflow.tracking.MlflowClient method)
delete_run() (in module mlflow)
(mlflow.tracking.MlflowClient method)
delete_tag() (in module mlflow)
(mlflow.tracking.MlflowClient method)
DELETED (mlflow.entities.LifecycleStage attribute)
DELETED_ONLY (mlflow.entities.ViewType attribute)
deploy() (in module mlflow.azureml)
(in module mlflow.sagemaker)
deploy_transform_job() (in module mlflow.sagemaker)
description() (mlflow.entities.model_registry.ModelVersion property)
(mlflow.entities.model_registry.RegisteredModel property)
double (mlflow.types.DataType attribute)
download_artifacts() (mlflow.tracking.MlflowClient method)
E
end_run() (in module mlflow)
end_time() (mlflow.entities.RunInfo property)
eval_and_log_metrics() (in module mlflow.sklearn)
ExecutionException
Experiment (class in mlflow.entities)
experiment_id() (mlflow.entities.Experiment property)
(mlflow.entities.RunInfo property)
ExperimentTag (class in mlflow.entities)
explain() (mlflow.deployments.BaseDeploymentClient method)
F
FAILED (mlflow.entities.RunStatus attribute)
file_size() (mlflow.entities.FileInfo property)
FileInfo (class in mlflow.entities)
FINISHED (mlflow.entities.RunStatus attribute)
FlavorBackend (class in mlflow.models)
float (mlflow.types.DataType attribute)
from_dict() (mlflow.models.Model class method)
(mlflow.models.ModelSignature class method)
from_json() (mlflow.types.Schema class method)
from_json_dict() (mlflow.types.TensorSpec class method)
from_proto() (mlflow.entities.Experiment class method)
(mlflow.entities.ExperimentTag class method)
(mlflow.entities.FileInfo class method)
(mlflow.entities.Metric class method)
(mlflow.entities.model_registry.ModelVersion class method)
(mlflow.entities.model_registry.ModelVersionTag class method)
(mlflow.entities.model_registry.RegisteredModel class method)
(mlflow.entities.model_registry.RegisteredModelTag class method)
(mlflow.entities.Param class method)
(mlflow.entities.Run class method)
(mlflow.entities.RunData class method)
(mlflow.entities.RunInfo class method)
(mlflow.entities.RunTag class method)
(mlflow.entities.ViewType class method)
from_string() (mlflow.entities.RunStatus static method)
(mlflow.entities.SourceType static method)
(mlflow.entities.ViewType class method)
G
get_artifact_uri() (in module mlflow)
get_default_conda_env() (in module mlflow.catboost)
(in module mlflow.fastai)
(in module mlflow.gluon)
(in module mlflow.h2o)
(in module mlflow.keras)
(in module mlflow.lightgbm)
(in module mlflow.onnx)
(in module mlflow.paddle)
(in module mlflow.prophet)
(in module mlflow.pyfunc)
(in module mlflow.pytorch)
(in module mlflow.shap)
(in module mlflow.sklearn)
(in module mlflow.spacy)
(in module mlflow.spark)
(in module mlflow.statsmodels)
(in module mlflow.tensorflow)
(in module mlflow.xgboost)
get_default_pip_requirements() (in module mlflow.catboost)
(in module mlflow.fastai)
(in module mlflow.gluon)
(in module mlflow.h2o)
(in module mlflow.keras)
(in module mlflow.lightgbm)
(in module mlflow.onnx)
(in module mlflow.paddle)
(in module mlflow.prophet)
(in module mlflow.pyfunc)
(in module mlflow.pytorch)
(in module mlflow.shap)
(in module mlflow.sklearn)
(in module mlflow.spacy)
(in module mlflow.spark)
(in module mlflow.statsmodels)
(in module mlflow.tensorflow)
(in module mlflow.xgboost)
get_deploy_client() (in module mlflow.deployments)
get_deployment() (mlflow.deployments.BaseDeploymentClient method)
get_experiment() (in module mlflow)
(mlflow.tracking.MlflowClient method)
get_experiment_by_name() (in module mlflow)
(mlflow.tracking.MlflowClient method)
get_input_schema() (mlflow.models.Model method)
get_latest_versions() (mlflow.tracking.MlflowClient method)
get_metric_history() (mlflow.tracking.MlflowClient method)
get_model_version() (mlflow.tracking.MlflowClient method)
get_model_version_download_uri() (mlflow.tracking.MlflowClient method)
get_model_version_stages() (mlflow.tracking.MlflowClient method)
get_orderable_attributes() (mlflow.entities.RunInfo class method)
get_output_schema() (mlflow.models.Model method)
get_registered_model() (mlflow.tracking.MlflowClient method)
get_registry_uri() (in module mlflow)
(in module mlflow.tracking)
get_run() (in module mlflow)
(mlflow.tracking.MlflowClient method)
get_searchable_attributes() (mlflow.entities.RunInfo class method)
get_status() (mlflow.projects.SubmittedRun method)
get_tracking_uri() (in module mlflow)
(in module mlflow.tracking)
get_underlying_model_flavor() (in module mlflow.shap)
H
has_column_names() (mlflow.types.Schema method)
has_input_names() (mlflow.types.Schema method)
I
infer_pip_requirements() (in module mlflow.models)
infer_signature() (in module mlflow.models)
info() (mlflow.entities.Run property)
input_names() (mlflow.types.Schema method)
input_types() (mlflow.types.Schema method)
inputs() (mlflow.types.Schema property)
integer (mlflow.types.DataType attribute)
is_dir() (mlflow.entities.FileInfo property)
is_tensor_spec() (mlflow.types.Schema method)
is_terminated() (mlflow.entities.RunStatus static method)
is_tracking_uri_set() (in module mlflow.tracking)
is_valid() (mlflow.entities.LifecycleStage class method)
J
JOB (mlflow.entities.SourceType attribute)
K
key() (mlflow.entities.ExperimentTag property)
(mlflow.entities.Metric property)
(mlflow.entities.model_registry.ModelVersionTag property)
(mlflow.entities.model_registry.RegisteredModelTag property)
(mlflow.entities.Param property)
(mlflow.entities.RunTag property)
KILLED (mlflow.entities.RunStatus attribute)
L
last_updated_timestamp() (mlflow.entities.model_registry.ModelVersion property)
(mlflow.entities.model_registry.RegisteredModel property)
latest_versions() (mlflow.entities.model_registry.RegisteredModel property)
lifecycle_stage() (mlflow.entities.Experiment property)
(mlflow.entities.RunInfo property)
LifecycleStage (class in mlflow.entities)
list_artifacts() (mlflow.tracking.MlflowClient method)
list_deployments() (mlflow.deployments.BaseDeploymentClient method)
list_experiments() (in module mlflow)
(mlflow.tracking.MlflowClient method)
list_registered_models() (mlflow.tracking.MlflowClient method)
list_run_infos() (in module mlflow)
(mlflow.tracking.MlflowClient method)
load() (mlflow.models.Model class method)
load_context() (mlflow.pyfunc.PythonModel method)
load_explainer() (in module mlflow.shap)
load_model() (in module mlflow.catboost)
(in module mlflow.fastai)
(in module mlflow.gluon)
(in module mlflow.h2o)
(in module mlflow.keras)
(in module mlflow.lightgbm)
(in module mlflow.onnx)
(in module mlflow.paddle)
(in module mlflow.prophet)
(in module mlflow.pyfunc)
(in module mlflow.pytorch)
(in module mlflow.sklearn)
(in module mlflow.spacy)
(in module mlflow.spark)
(in module mlflow.statsmodels)
(in module mlflow.tensorflow)
(in module mlflow.xgboost)
load_pyfunc() (in module mlflow.pyfunc)
load_state_dict() (in module mlflow.pytorch)
LOCAL (mlflow.entities.SourceType attribute)
log() (mlflow.models.Model class method)
log_artifact() (in module mlflow)
(mlflow.tracking.MlflowClient method)
log_artifacts() (in module mlflow)
(mlflow.tracking.MlflowClient method)
log_batch() (mlflow.tracking.MlflowClient method)
log_dict() (in module mlflow)
(mlflow.tracking.MlflowClient method)
log_explainer() (in module mlflow.shap)
log_explanation() (in module mlflow.shap)
log_figure() (in module mlflow)
(mlflow.tracking.MlflowClient method)
log_image() (in module mlflow)
(mlflow.tracking.MlflowClient method)
log_metric() (in module mlflow)
(mlflow.tracking.MlflowClient method)
log_metrics() (in module mlflow)
log_model() (in module mlflow.catboost)
(in module mlflow.fastai)
(in module mlflow.gluon)
(in module mlflow.h2o)
(in module mlflow.keras)
(in module mlflow.lightgbm)
(in module mlflow.mleap)
(in module mlflow.onnx)
(in module mlflow.paddle)
(in module mlflow.prophet)
(in module mlflow.pyfunc)
(in module mlflow.pytorch)
(in module mlflow.sklearn)
(in module mlflow.spacy)
(in module mlflow.spark)
(in module mlflow.statsmodels)
(in module mlflow.tensorflow)
(in module mlflow.xgboost)
log_param() (in module mlflow)
(mlflow.tracking.MlflowClient method)
log_params() (in module mlflow)
log_state_dict() (in module mlflow.pytorch)
log_text() (in module mlflow)
(mlflow.tracking.MlflowClient method)
long (mlflow.types.DataType attribute)
M
matches_view_type() (mlflow.entities.LifecycleStage class method)
metadata() (mlflow.pyfunc.PyFuncModel property)
Metric (class in mlflow.entities)
metrics() (mlflow.entities.RunData property)
MissingConfigException
MLeapSerializationException
mlflow
module
mlflow command line option
--version
mlflow-artifacts-download command line option
--artifact-path <artifact_path>
--artifact-uri <artifact_uri>
--run-id <run_id>
-a
-r
-u
mlflow-artifacts-list command line option
--artifact-path <artifact_path>
--run-id <run_id>
-a
-r
mlflow-artifacts-log-artifact command line option
--artifact-path <artifact_path>
--local-file <local_file>
--run-id <run_id>
-a
-l
-r
mlflow-artifacts-log-artifacts command line option
--artifact-path <artifact_path>
--local-dir <local_dir>
--run-id <run_id>
-a
-l
-r
mlflow-azureml-build-image command line option
--description <description>
--image-name <image_name>
--mlflow-home <PATH>
--model-name <model_name>
--model-uri <URI>
--subscription-id <subscription_id>
--tags <tags>
--workspace-name <workspace_name>
-d
-i
-m
-n
-s
-t
-w
mlflow-db-upgrade command line option
URL
mlflow-deployments-create command line option
--config <NAME=VALUE>
--flavor <flavor>
--model-uri <URI>
--name <name>
--target <target>
-C
-f
-m
-t
mlflow-deployments-delete command line option
--name <name>
--target <target>
-t
mlflow-deployments-explain command line option
--input-path <input_path>
--name <name>
--output-path <output_path>
--target <target>
-I
-O
-t
mlflow-deployments-get command line option
--name <name>
--target <target>
-t
mlflow-deployments-help command line option
--target <target>
-t
mlflow-deployments-list command line option
--target <target>
-t
mlflow-deployments-predict command line option
--input-path <input_path>
--name <name>
--output-path <output_path>
--target <target>
-I
-O
-t
mlflow-deployments-run-local command line option
--config <NAME=VALUE>
--flavor <flavor>
--model-uri <URI>
--name <name>
--target <target>
-C
-f
-m
-t
mlflow-deployments-update command line option
--config <NAME=VALUE>
--flavor <flavor>
--model-uri <URI>
--name <name>
--target <target>
-C
-f
-m
-t
mlflow-experiments-create command line option
--artifact-location <artifact_location>
--experiment-name <experiment_name>
-l
-n
mlflow-experiments-csv command line option
--experiment-id <experiment_id>
--filename <filename>
-o
-x
mlflow-experiments-delete command line option
--experiment-id <experiment_id>
-x
mlflow-experiments-list command line option
--view <view>
-v
mlflow-experiments-rename command line option
--experiment-id <experiment_id>
--new-name <new_name>
-x
mlflow-experiments-restore command line option
--experiment-id <experiment_id>
-x
mlflow-gc command line option
--backend-store-uri <PATH>
--run-ids <run_ids>
mlflow-models-build-docker command line option
--install-mlflow
--model-uri <URI>
--name <name>
-m
-n
mlflow-models-predict command line option
--content-type <content_type>
--input-path <input_path>
--install-mlflow
--json-format <json_format>
--model-uri <URI>
--no-conda
--output-path <output_path>
-i
-j
-m
-o
-t
mlflow-models-prepare-env command line option
--install-mlflow
--model-uri <URI>
--no-conda
-m
mlflow-models-serve command line option
--host <HOST>
--install-mlflow
--model-uri <URI>
--no-conda
--port <port>
--workers <workers>
-h
-m
-p
-w
mlflow-run command line option
--backend <BACKEND>
--backend-config <FILE>
--docker-args <NAME=VALUE>
--entry-point <NAME>
--experiment-id <experiment_id>
--experiment-name <experiment_name>
--no-conda
--param-list <NAME=VALUE>
--run-id <RUN_ID>
--storage-dir <storage_dir>
--version <VERSION>
-A
-b
-c
-e
-P
-v
URI
mlflow-runs-delete command line option
--run-id <run_id>
mlflow-runs-describe command line option
--run-id <run_id>
mlflow-runs-list command line option
--experiment-id <experiment_id>
--view <view>
-v
mlflow-runs-restore command line option
--run-id <run_id>
mlflow-sagemaker-build-and-push-container command line option
--build
--container <container>
--mlflow-home <PATH>
--no-build
--no-push
--push
-c
mlflow-sagemaker-delete command line option
--app-name <app_name>
--archive
--async
--region-name <region_name>
--timeout <timeout>
-a
-ar
-r
mlflow-sagemaker-deploy command line option
--app-name <app_name>
--archive
--async
--bucket <bucket>
--execution-role-arn <execution_role_arn>
--flavor <flavor>
--image-url <image_url>
--instance-count <instance_count>
--instance-type <instance_type>
--mode <mode>
--model-uri <URI>
--region-name <region_name>
--timeout <timeout>
--vpc-config <vpc_config>
-a
-ar
-b
-c
-e
-f
-i
-m
-t
-v
mlflow-sagemaker-deploy-transform-job command line option
--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 command line option
--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-run-local command line option
--flavor <flavor>
--image <image>
--model-uri <URI>
--port <port>
-f
-i
-m
-p
mlflow-sagemaker-terminate-transform-job command line option
--archive
--async
--job-name <job_name>
--region-name <region_name>
--timeout <timeout>
-n
-r
mlflow-server command line option
--backend-store-uri <PATH>
--default-artifact-root <URI>
--expose-prometheus <expose_prometheus>
--gunicorn-opts <gunicorn_opts>
--host <HOST>
--port <port>
--static-prefix <static_prefix>
--waitress-opts <waitress_opts>
--workers <workers>
-h
-p
-w
mlflow-ui command line option
--backend-store-uri <PATH>
--default-artifact-root <URI>
--host <HOST>
--port <port>
-h
-p
mlflow.azureml
module
mlflow.catboost
module
mlflow.deployments
module
mlflow.entities
module
mlflow.entities.model_registry
module
mlflow.exceptions
module
mlflow.exceptions.MlflowException
mlflow.fastai
module
mlflow.gluon
module
mlflow.h2o
module
mlflow.keras
module
mlflow.lightgbm
module
mlflow.mleap
module
mlflow.models
module
mlflow.onnx
module
mlflow.paddle
module
mlflow.projects
module
mlflow.prophet
module
mlflow.pyfunc
module
mlflow.pyspark.ml
module
mlflow.pytorch
module
mlflow.sagemaker
module
mlflow.shap
module
mlflow.sklearn
module
mlflow.spacy
module
mlflow.spark
module
mlflow.statsmodels
module
mlflow.store.entities
module
mlflow.tensorflow
module
mlflow.tracking
module
mlflow.types
module
mlflow.xgboost
module
MlflowClient (class in mlflow.tracking)
Model (class in mlflow.models)
ModelSignature (class in mlflow.models)
ModelVersion (class in mlflow.entities.model_registry)
ModelVersionTag (class in mlflow.entities.model_registry)
module
mlflow
mlflow.azureml
mlflow.catboost
mlflow.deployments
mlflow.entities
mlflow.entities.model_registry
mlflow.exceptions
mlflow.fastai
mlflow.gluon
mlflow.h2o
mlflow.keras
mlflow.lightgbm
mlflow.mleap
mlflow.models
mlflow.onnx
mlflow.paddle
mlflow.projects
mlflow.prophet
mlflow.pyfunc
mlflow.pyspark.ml
mlflow.pytorch
mlflow.sagemaker
mlflow.shap
mlflow.sklearn
mlflow.spacy
mlflow.spark
mlflow.statsmodels
mlflow.store.entities
mlflow.tensorflow
mlflow.tracking
mlflow.types
mlflow.xgboost
N
name() (mlflow.entities.Experiment property)
(mlflow.entities.model_registry.ModelVersion property)
(mlflow.entities.model_registry.RegisteredModel property)
(mlflow.types.ColSpec property)
(mlflow.types.TensorSpec property)
NOTEBOOK (mlflow.entities.SourceType attribute)
numpy_types() (mlflow.types.Schema method)
P
PagedList (class in mlflow.store.entities)
pandas_types() (mlflow.types.Schema method)
Param (class in mlflow.entities)
params() (mlflow.entities.RunData property)
path() (mlflow.entities.FileInfo property)
predict() (mlflow.deployments.BaseDeploymentClient method)
(mlflow.models.FlavorBackend method)
(mlflow.pyfunc.PyFuncModel method)
(mlflow.pyfunc.PythonModel method)
prepare_env() (mlflow.models.FlavorBackend method)
PROJECT (mlflow.entities.SourceType 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
register_model() (in module mlflow)
RegisteredModel (class in mlflow.entities.model_registry)
RegisteredModelTag (class in mlflow.entities.model_registry)
rename_experiment() (mlflow.tracking.MlflowClient method)
rename_registered_model() (mlflow.tracking.MlflowClient method)
RestException
restore_experiment() (mlflow.tracking.MlflowClient method)
restore_run() (mlflow.tracking.MlflowClient method)
Run (class in mlflow.entities)
run() (in module mlflow)
(in module mlflow.projects)
run_id() (mlflow.entities.model_registry.ModelVersion property)
(mlflow.entities.RunInfo property)
(mlflow.projects.SubmittedRun property)
run_link() (mlflow.entities.model_registry.ModelVersion property)
run_local() (in module mlflow.deployments)
(in module mlflow.sagemaker)
run_uuid() (mlflow.entities.RunInfo property)
RunData (class in mlflow.entities)
RunInfo (class in mlflow.entities)
RUNNING (mlflow.entities.RunStatus attribute)
RunStatus (class in mlflow.entities)
RunTag (class in mlflow.entities)
S
save() (mlflow.models.Model method)
save_explainer() (in module mlflow.shap)
save_model() (in module mlflow.catboost)
(in module mlflow.fastai)
(in module mlflow.gluon)
(in module mlflow.h2o)
(in module mlflow.keras)
(in module mlflow.lightgbm)
(in module mlflow.mleap)
(in module mlflow.onnx)
(in module mlflow.paddle)
(in module mlflow.prophet)
(in module mlflow.pyfunc)
(in module mlflow.pytorch)
(in module mlflow.sklearn)
(in module mlflow.spacy)
(in module mlflow.spark)
(in module mlflow.statsmodels)
(in module mlflow.tensorflow)
(in module mlflow.xgboost)
save_state_dict() (in module mlflow.pytorch)
saved_input_example_info() (mlflow.models.Model property)
SCHEDULED (mlflow.entities.RunStatus attribute)
Schema (class in mlflow.types)
search_model_versions() (mlflow.tracking.MlflowClient method)
search_registered_models() (mlflow.tracking.MlflowClient method)
search_runs() (in module mlflow)
(mlflow.tracking.MlflowClient method)
serve() (mlflow.models.FlavorBackend method)
set_experiment() (in module mlflow)
set_experiment_tag() (mlflow.tracking.MlflowClient method)
set_model_version_tag() (mlflow.tracking.MlflowClient method)
set_registered_model_tag() (mlflow.tracking.MlflowClient method)
set_registry_uri() (in module mlflow)
(in module mlflow.tracking)
set_tag() (in module mlflow)
(mlflow.tracking.MlflowClient method)
set_tags() (in module mlflow)
set_terminated() (mlflow.tracking.MlflowClient method)
set_tracking_uri() (in module mlflow)
(in module mlflow.tracking)
shape() (mlflow.types.TensorSpec property)
should_autolog (mlflow.statsmodels.AutologHelpers attribute)
signature() (mlflow.models.Model property)
source() (mlflow.entities.model_registry.ModelVersion property)
SourceType (class in mlflow.entities)
SOURCETYPE_TO_STRING (mlflow.entities.SourceType attribute)
spark_udf() (in module mlflow.pyfunc)
start_run() (in module mlflow)
start_time() (mlflow.entities.RunInfo property)
status() (mlflow.entities.model_registry.ModelVersion property)
(mlflow.entities.RunInfo property)
status_message() (mlflow.entities.model_registry.ModelVersion property)
step() (mlflow.entities.Metric property)
string (mlflow.types.DataType attribute)
SubmittedRun (class in mlflow.projects)
T
tags() (mlflow.entities.Experiment property)
(mlflow.entities.model_registry.ModelVersion property)
(mlflow.entities.model_registry.RegisteredModel property)
(mlflow.entities.RunData property)
TensorSpec (class in mlflow.types)
terminate_transform_job() (in module mlflow.sagemaker)
timestamp() (mlflow.entities.Metric property)
to_dict() (mlflow.models.Model method)
(mlflow.models.ModelSignature method)
(mlflow.types.Schema method)
to_dictionary() (mlflow.entities.Run method)
(mlflow.entities.RunData method)
to_json() (mlflow.models.Model method)
(mlflow.types.Schema method)
to_numpy() (mlflow.types.DataType method)
to_pandas() (mlflow.types.DataType method)
to_proto() (mlflow.entities.Experiment method)
(mlflow.entities.ExperimentTag method)
(mlflow.entities.FileInfo method)
(mlflow.entities.Metric method)
(mlflow.entities.model_registry.ModelVersion method)
(mlflow.entities.model_registry.ModelVersionTag method)
(mlflow.entities.model_registry.RegisteredModel method)
(mlflow.entities.model_registry.RegisteredModelTag method)
(mlflow.entities.Param method)
(mlflow.entities.Run method)
(mlflow.entities.RunData method)
(mlflow.entities.RunInfo method)
(mlflow.entities.RunTag method)
(mlflow.entities.ViewType class method)
to_string() (mlflow.entities.RunStatus static method)
(mlflow.entities.SourceType static method)
(mlflow.entities.ViewType class method)
to_yaml() (mlflow.models.Model method)
transition_model_version_stage() (mlflow.tracking.MlflowClient method)
type() (mlflow.types.ColSpec property)
(mlflow.types.TensorSpec property)
U
UNKNOWN (mlflow.entities.SourceType attribute)
update_deployment() (mlflow.deployments.BaseDeploymentClient method)
update_model_version() (mlflow.tracking.MlflowClient method)
update_registered_model() (mlflow.tracking.MlflowClient method)
URI
mlflow-run command line option
URL
mlflow-db-upgrade command line option
user_id() (mlflow.entities.model_registry.ModelVersion property)
(mlflow.entities.RunInfo property)
V
value() (mlflow.entities.ExperimentTag property)
(mlflow.entities.Metric property)
(mlflow.entities.model_registry.ModelVersionTag property)
(mlflow.entities.model_registry.RegisteredModelTag property)
(mlflow.entities.Param property)
(mlflow.entities.RunTag property)
version() (mlflow.entities.model_registry.ModelVersion property)
view_type_to_stages() (mlflow.entities.LifecycleStage class method)
ViewType (class in mlflow.entities)
W
wait() (mlflow.projects.SubmittedRun method)