Index

A

ACTIVE_LIFECYCLE (mlflow.entities.Experiment attribute) (mlflow.entities.RunInfo 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) artifact_location (mlflow.entities.Experiment attribute) artifact_uri (mlflow.entities.RunInfo attribute)

B

build_image() (in module mlflow.azureml) (in module mlflow.sagemaker)

C

cancel() (mlflow.projects.SubmittedRun method) create_experiment() (in module mlflow) (mlflow.tracking.MlflowClient method)

create_run() (mlflow.tracking.MlflowClient method)

D

data (mlflow.entities.Run attribute) DEFAULT_EXPERIMENT_ID (mlflow.entities.Experiment attribute) delete() (in module mlflow.sagemaker) delete_experiment() (mlflow.tracking.MlflowClient method) delete_run() (mlflow.tracking.MlflowClient method)

DELETED_LIFECYCLE (mlflow.entities.Experiment attribute) (mlflow.entities.RunInfo attribute) DELETED_ONLY (mlflow.entities.ViewType attribute) deploy() (in module mlflow.sagemaker) download_artifacts() (mlflow.tracking.MlflowClient method)

E

end_run() (in module mlflow) end_time (mlflow.entities.RunInfo attribute) entry_point_name (mlflow.entities.RunInfo attribute)

Experiment (class in mlflow.entities) experiment_id (mlflow.entities.Experiment attribute) (mlflow.entities.RunInfo attribute)

F

FAILED (mlflow.entities.RunStatus attribute) file_size (mlflow.entities.FileInfo attribute) FileInfo (class in mlflow.entities) FINISHED (mlflow.entities.RunStatus attribute) from_dictionary() (mlflow.entities.Run class method) (mlflow.entities.RunData class method) from_proto() (mlflow.entities.Experiment 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)

from_string() (mlflow.entities.RunStatus static method) (mlflow.entities.ViewType class method)

G

get_artifact_uri() (in module mlflow) get_experiment() (mlflow.tracking.MlflowClient method) get_experiment_by_name() (mlflow.tracking.MlflowClient method)

get_module_loader_src() (in module mlflow.pyfunc) get_run() (mlflow.tracking.MlflowClient method) get_status() (mlflow.projects.SubmittedRun method) get_tracking_uri() (in module mlflow.tracking)

I

info (mlflow.entities.Run attribute)

is_dir (mlflow.entities.FileInfo attribute) is_terminated() (mlflow.entities.RunStatus static method)

J

JOB (mlflow.entities.SourceType attribute)

K

key (mlflow.entities.Metric attribute) (mlflow.entities.Param attribute) (mlflow.entities.RunTag attribute)

L

lifecycle_stage (mlflow.entities.Experiment attribute) (mlflow.entities.RunInfo attribute) list_artifacts() (mlflow.tracking.MlflowClient method) list_experiments() (mlflow.tracking.MlflowClient method) list_run_infos() (mlflow.tracking.MlflowClient method) load() (mlflow.models.Model class method) load_model() (in module mlflow.h2o) (in module mlflow.keras) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) (in module mlflow.tensorflow) 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_metric() (in module mlflow) (mlflow.tracking.MlflowClient method) log_model() (in module mlflow.h2o) (in module mlflow.keras) (in module mlflow.mleap) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) (in module mlflow.tensorflow) log_param() (in module mlflow) (mlflow.tracking.MlflowClient method)

M

Metric (class in mlflow.entities) metrics (mlflow.entities.RunData attribute) MLeapSerializationException mlflow (module) mlflow.azureml (module) mlflow.entities (module) mlflow.h2o (module) mlflow.keras (module) mlflow.mleap (module) mlflow.models (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) MlflowClient (class in mlflow.tracking) Model (class in mlflow.models)

N

name (mlflow.entities.Experiment attribute) (mlflow.entities.RunInfo attribute)

NOTEBOOK (mlflow.entities.SourceType attribute)

P

Param (class in mlflow.entities) params (mlflow.entities.RunData attribute)

path (mlflow.entities.FileInfo attribute) PROJECT (mlflow.entities.SourceType attribute) push_image_to_ecr() (in module mlflow.sagemaker)

R

rename_experiment() (mlflow.tracking.MlflowClient method) 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.projects.SubmittedRun attribute)

run_local() (in module mlflow.sagemaker) run_uuid (mlflow.entities.RunInfo attribute) 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.h2o) (in module mlflow.keras) (in module mlflow.mleap) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) (in module mlflow.tensorflow) SCHEDULED (mlflow.entities.RunStatus attribute) set_experiment() (in module mlflow) set_tag() (in module mlflow) (mlflow.tracking.MlflowClient method)

set_terminated() (mlflow.tracking.MlflowClient method) set_tracking_uri() (in module mlflow) (in module mlflow.tracking) source_name (mlflow.entities.RunInfo attribute) source_type (mlflow.entities.RunInfo attribute) source_version (mlflow.entities.RunInfo attribute) SourceType (class in mlflow.entities) spark_udf() (in module mlflow.pyfunc) start_run() (in module mlflow) start_time (mlflow.entities.RunInfo attribute) status (mlflow.entities.RunInfo attribute) SubmittedRun (class in mlflow.projects)

T

tags (mlflow.entities.RunData attribute) timestamp (mlflow.entities.Metric attribute) to_dictionary() (mlflow.entities.Run method) to_proto() (mlflow.entities.Experiment 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)

to_string() (mlflow.entities.RunStatus static method) (mlflow.entities.ViewType class method) to_yaml() (mlflow.models.Model method)

U

UNKNOWN (mlflow.entities.SourceType attribute)

user_id (mlflow.entities.RunInfo attribute)

V

value (mlflow.entities.Metric attribute) (mlflow.entities.Param attribute) (mlflow.entities.RunTag attribute)

ViewType (class in mlflow.entities)

W

wait() (mlflow.projects.SubmittedRun method)