Index

A

active_run() (in module mlflow) ActiveRun (class in mlflow) add_flavor() (mlflow.models.Model method)

add_to_model() (in module mlflow.pyfunc) artifact_location (mlflow.entities.Experiment attribute) artifact_uri (mlflow.entities.RunInfo attribute)

B

build_image() (in module mlflow.sagemaker)

C

copy_with_overrides() (mlflow.entities.RunInfo method) create_experiment() (in module mlflow) (mlflow.tracking.MLflowService method)

create_run() (mlflow.tracking.MLflowService method)

D

data (mlflow.entities.Run attribute) DEFAULT_EXPERIMENT_ID (mlflow.entities.Experiment attribute)

delete() (in module mlflow.sagemaker) deploy() (in module mlflow.azureml) (in module mlflow.sagemaker)

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) export() (in module mlflow.azureml)

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) (mlflow.entities.RunInfo 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)

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

G

get_artifact_uri() (in module mlflow) get_experiment() (mlflow.tracking.MLflowService method) get_module_loader_src() (in module mlflow.pyfunc)

get_run() (mlflow.tracking.MLflowService method) get_service() (in module mlflow.tracking) 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

list_experiments() (mlflow.tracking.MLflowService method) list_runs() (mlflow.tracking.MLflowService 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) load_pyfunc() (in module mlflow.h2o) (in module mlflow.keras) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) (in module mlflow.tensorflow) LOCAL (mlflow.entities.SourceType attribute)

log() (mlflow.models.Model class method) log_artifact() (in module mlflow) (mlflow.tracking.MLflowService method) log_artifacts() (in module mlflow) (mlflow.tracking.MLflowService method) log_metric() (in module mlflow) (mlflow.tracking.MLflowService method) log_model() (in module mlflow.h2o) (in module mlflow.keras) (in module mlflow.pyfunc) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) log_param() (in module mlflow) (mlflow.tracking.MLflowService method) log_saved_model() (in module mlflow.tensorflow)

M

Metric (class in mlflow.entities) metrics (mlflow.entities.RunData attribute) mlflow (module) mlflow.azureml (module) mlflow.entities (module) mlflow.h2o (module) mlflow.keras (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) MLflowService (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

Run (class in mlflow.entities) run() (in module mlflow) (in module mlflow.projects) 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.pyfunc) (in module mlflow.pytorch) (in module mlflow.sklearn) (in module mlflow.spark) SCHEDULED (mlflow.entities.RunStatus attribute) set_terminated() (mlflow.tracking.MLflowService 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)

T

tags (mlflow.entities.RunInfo 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)

to_string() (mlflow.entities.RunStatus static 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)