Index

Symbols

--async mlflow-sagemaker-delete command line option mlflow-sagemaker-deploy command line option --backend-store-uri <backend_store_uri> mlflow-gc command line option mlflow-server command line option mlflow-ui command line option --build, --no-build mlflow-sagemaker-build-and-push-container command line option --default-artifact-root <default_artifact_root> mlflow-server command line option mlflow-ui command line option --experiment-id <experiment_id> mlflow-run command line option mlflow-runs-list command line option --experiment-name <experiment_name> mlflow-run command line option --expose-prometheus <expose_prometheus> mlflow-server command line option --gunicorn-opts <gunicorn_opts> mlflow-server 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 --mlflow-home <mlflow_home> mlflow-azureml-build-image command line option mlflow-sagemaker-build-and-push-container command line option --mode <mode> mlflow-sagemaker-deploy command line option --new-name <new_name> mlflow-experiments-rename 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 --push, --no-push mlflow-sagemaker-build-and-push-container command line option --region-name <region_name> mlflow-sagemaker-deploy command line option --run-id <run_id> mlflow-run 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 --static-prefix <static_prefix> mlflow-server command line option --storage-dir <storage_dir> mlflow-run command line option --timeout <timeout> mlflow-sagemaker-delete command line option mlflow-sagemaker-deploy command line option --version mlflow command line option --waitress-opts <waitress_opts> mlflow-server command line option -a, --app-name <app_name> mlflow-sagemaker-delete command line option mlflow-sagemaker-deploy command line option -a, --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 -A, --docker-args <docker_args> mlflow-run command line option -ar, --archive mlflow-sagemaker-delete command line option mlflow-sagemaker-deploy command line option -b, --backend <backend> mlflow-run command line option -b, --bucket <bucket> mlflow-sagemaker-deploy command line option -c, --backend-config <backend_config> mlflow-run command line option -c, --container <container> mlflow-sagemaker-build-and-push-container command line option -c, --instance-count <instance_count> mlflow-sagemaker-deploy command line option -d, --description <description> mlflow-azureml-build-image command line option

-e, --entry-point <entry_point> mlflow-run command line option -e, --execution-role-arn <execution_role_arn> mlflow-sagemaker-deploy command line option -f, --flavor <flavor> mlflow-sagemaker-deploy command line option mlflow-sagemaker-run-local command line option -h, --host <host> mlflow-models-serve command line option mlflow-server command line option mlflow-ui command line option -i, --image <image> mlflow-sagemaker-run-local command line option -i, --image-name <image_name> mlflow-azureml-build-image command line option -i, --image-url <image_url> mlflow-sagemaker-deploy command line option -i, --input-path <input_path> mlflow-models-predict command line option -j, --json-format <json_format> mlflow-models-predict command line option -l, --artifact-location <artifact_location> mlflow-experiments-create command line option -l, --local-dir <local_dir> mlflow-artifacts-log-artifacts command line option -l, --local-file <local_file> mlflow-artifacts-log-artifact command line option -m, --model-uri <model_uri> mlflow-azureml-build-image 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-run-local command line option -n, --experiment-name <experiment_name> mlflow-experiments-create command line option -n, --model-name <model_name> mlflow-azureml-build-image command line option -n, --name <name> mlflow-models-build-docker command line option -o, --filename <filename> mlflow-experiments-csv command line option -o, --output-path <output_path> mlflow-models-predict command line option -P, --param-list <param_list> mlflow-run command line option -p, --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 -r, --region-name <region_name> mlflow-sagemaker-delete command line option -r, --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 -s, --subscription-id <subscription_id> mlflow-azureml-build-image command line option -t, --content-type <content_type> mlflow-models-predict command line option -t, --instance-type <instance_type> mlflow-sagemaker-deploy command line option -t, --tags <tags> mlflow-azureml-build-image command line option -u, --artifact-uri <artifact_uri> mlflow-artifacts-download command line option -v, --version <version> mlflow-run command line option -v, --view <view> mlflow-experiments-list command line option mlflow-runs-list command line option -v, --vpc-config <vpc_config> mlflow-sagemaker-deploy command line option -w, --workers <workers> mlflow-models-serve command line option mlflow-server command line option -w, --workspace-name <workspace_name> mlflow-azureml-build-image command line option -x, --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

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) autolog() (in module mlflow.gluon) (in module mlflow.keras) (in module mlflow.lightgbm) (in module mlflow.spark) (in module mlflow.tensorflow) (in module mlflow.xgboost)

B

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) 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) DEFAULT_EXPERIMENT_NAME (mlflow.entities.Experiment attribute) delete() (in module mlflow.sagemaker) delete_experiment() (in module mlflow) (mlflow.tracking.MlflowClient method) delete_model_version() (mlflow.tracking.MlflowClient method) delete_registered_model() (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) description() (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.model_registry.RegisteredModel property) download_artifacts() (mlflow.tracking.MlflowClient method)

E

end_run() (in module mlflow) end_time() (mlflow.entities.RunInfo property) ExecutionException

Experiment (class in mlflow.entities) experiment_id() (mlflow.entities.Experiment property) (mlflow.entities.RunInfo property) ExperimentTag (class in mlflow.entities)

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) from_dict() (mlflow.models.Model 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.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) (mlflow.entities.model_registry.ModelVersion class method) (mlflow.entities.model_registry.RegisteredModel 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.gluon) (in module mlflow.h2o) (in module mlflow.keras) (in module mlflow.lightgbm) (in module mlflow.onnx) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) (in module mlflow.tensorflow) (in module mlflow.xgboost) get_experiment() (in module mlflow) (mlflow.tracking.MlflowClient method) get_experiment_by_name() (in module mlflow) (mlflow.tracking.MlflowClient 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_details() (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_registered_model() (mlflow.tracking.MlflowClient method) get_registered_model_details() (mlflow.tracking.MlflowClient method) 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)

I

info() (mlflow.entities.Run property) is_dir() (mlflow.entities.FileInfo property)

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.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_experiments() (mlflow.tracking.MlflowClient method) list_registered_models() (mlflow.tracking.MlflowClient method) list_run_infos() (mlflow.tracking.MlflowClient method) load() (mlflow.models.Model class method) load_context() (mlflow.pyfunc.PythonModel method) load_model() (in module mlflow.gluon) (in module mlflow.h2o) (in module mlflow.keras) (in module mlflow.lightgbm) (in module mlflow.onnx) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) (in module mlflow.tensorflow) (in module mlflow.xgboost) load_pyfunc() (in module mlflow.pyfunc)

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_metric() (in module mlflow) (mlflow.tracking.MlflowClient method) log_metrics() (in module mlflow) log_model() (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.pyfunc) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) (in module mlflow.tensorflow) (in module mlflow.xgboost) log_param() (in module mlflow) (mlflow.tracking.MlflowClient method) log_params() (in module mlflow)

M

matches_view_type() (mlflow.entities.LifecycleStage class method) 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 -a, --artifact-path <artifact_path> -r, --run-id <run_id> -u, --artifact-uri <artifact_uri> mlflow-artifacts-list command line option -a, --artifact-path <artifact_path> -r, --run-id <run_id> mlflow-artifacts-log-artifact command line option -a, --artifact-path <artifact_path> -l, --local-file <local_file> -r, --run-id <run_id> mlflow-artifacts-log-artifacts command line option -a, --artifact-path <artifact_path> -l, --local-dir <local_dir> -r, --run-id <run_id> mlflow-azureml-build-image command line option --mlflow-home <mlflow_home> -d, --description <description> -i, --image-name <image_name> -m, --model-uri <model_uri> -n, --model-name <model_name> -s, --subscription-id <subscription_id> -t, --tags <tags> -w, --workspace-name <workspace_name> mlflow-db-upgrade command line option URL mlflow-experiments-create command line option -l, --artifact-location <artifact_location> -n, --experiment-name <experiment_name> mlflow-experiments-csv command line option -o, --filename <filename> -x, --experiment-id <experiment_id> mlflow-experiments-delete command line option -x, --experiment-id <experiment_id> mlflow-experiments-list command line option -v, --view <view> mlflow-experiments-rename command line option --new-name <new_name> -x, --experiment-id <experiment_id> mlflow-experiments-restore command line option -x, --experiment-id <experiment_id> mlflow-gc command line option --backend-store-uri <backend_store_uri> --run-ids <run_ids> mlflow-models-build-docker command line option --install-mlflow -m, --model-uri <model_uri> -n, --name <name> mlflow-models-predict command line option --install-mlflow --no-conda -i, --input-path <input_path> -j, --json-format <json_format> -m, --model-uri <model_uri> -o, --output-path <output_path> -t, --content-type <content_type> mlflow-models-prepare-env command line option --install-mlflow --no-conda -m, --model-uri <model_uri> mlflow-models-serve command line option --install-mlflow --no-conda -h, --host <host> -m, --model-uri <model_uri> -p, --port <port> -w, --workers <workers> mlflow-run command line option --experiment-id <experiment_id> --experiment-name <experiment_name> --no-conda --run-id <run_id> --storage-dir <storage_dir> -A, --docker-args <docker_args> -P, --param-list <param_list> -b, --backend <backend> -c, --backend-config <backend_config> -e, --entry-point <entry_point> -v, --version <version> 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> -v, --view <view> mlflow-runs-restore command line option --run-id <run_id> mlflow-sagemaker-build-and-push-container command line option --build, --no-build --mlflow-home <mlflow_home> --push, --no-push -c, --container <container> mlflow-sagemaker-delete command line option --async --timeout <timeout> -a, --app-name <app_name> -ar, --archive -r, --region-name <region_name> mlflow-sagemaker-deploy command line option --async --mode <mode> --region-name <region_name> --timeout <timeout> -a, --app-name <app_name> -ar, --archive -b, --bucket <bucket> -c, --instance-count <instance_count> -e, --execution-role-arn <execution_role_arn> -f, --flavor <flavor> -i, --image-url <image_url> -m, --model-uri <model_uri> -t, --instance-type <instance_type> -v, --vpc-config <vpc_config> mlflow-sagemaker-run-local command line option -f, --flavor <flavor> -i, --image <image> -m, --model-uri <model_uri> -p, --port <port> mlflow-server command line option --backend-store-uri <backend_store_uri> --default-artifact-root <default_artifact_root> --expose-prometheus <expose_prometheus> --gunicorn-opts <gunicorn_opts> --static-prefix <static_prefix> --waitress-opts <waitress_opts> -h, --host <host> -p, --port <port> -w, --workers <workers> mlflow-ui command line option --backend-store-uri <backend_store_uri> --default-artifact-root <default_artifact_root> -h, --host <host> -p, --port <port> mlflow.azureml (module) mlflow.entities (module) mlflow.entities.model_registry (module) mlflow.exceptions (module) mlflow.exceptions.MlflowException mlflow.gluon (module) mlflow.h2o (module) mlflow.keras (module) mlflow.lightgbm (module) mlflow.mleap (module) mlflow.models (module) mlflow.onnx (module) mlflow.projects (module) mlflow.pyfunc (module) mlflow.pytorch (module) mlflow.sagemaker (module) mlflow.sklearn (module) mlflow.spark (module) mlflow.tensorflow (module) mlflow.tracking (module) mlflow.xgboost (module) MlflowClient (class in mlflow.tracking) Model (class in mlflow.models) ModelVersion (class in mlflow.entities.model_registry)

N

name() (mlflow.entities.Experiment property) (mlflow.entities.model_registry.ModelVersion property) (mlflow.entities.model_registry.RegisteredModel property)

NOTEBOOK (mlflow.entities.SourceType attribute)

P

Param (class in mlflow.entities) params() (mlflow.entities.RunData property) path() (mlflow.entities.FileInfo property) predict() (mlflow.models.FlavorBackend method) (mlflow.pyfunc.PythonModel method)

prepare_env() (mlflow.models.FlavorBackend method) PROJECT (mlflow.entities.SourceType attribute) push_image_to_ecr() (in module mlflow.sagemaker) PythonModel (class in mlflow.pyfunc) PythonModelContext (class in mlflow.pyfunc)

R

register_model() (in module mlflow) RegisteredModel (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_local() (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_model() (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.pyfunc) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) (in module mlflow.tensorflow) (in module mlflow.xgboost) SCHEDULED (mlflow.entities.RunStatus attribute) search_model_versions() (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_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) 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) SubmittedRun (class in mlflow.projects)

T

tags() (mlflow.entities.Experiment property) (mlflow.entities.RunData property) timestamp() (mlflow.entities.Metric property) to_dict() (mlflow.models.Model method) to_dictionary() (mlflow.entities.Run method) (mlflow.entities.RunData method) to_json() (mlflow.models.Model method) to_proto() (mlflow.entities.Experiment method) (mlflow.entities.ExperimentTag method) (mlflow.entities.FileInfo method) (mlflow.entities.Metric 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) (mlflow.entities.model_registry.ModelVersion method) (mlflow.entities.model_registry.RegisteredModel 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)

U

UNKNOWN (mlflow.entities.SourceType attribute) 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.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)