Index

A

ACCURACY (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) ACCURACY_SCORE (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) ASCENDING (watson_machine_learning_client.utils.autoai.enums.Directions attribute) Assets (class in client)

AssetsMetaNames (class in metanames) AVERAGE_PRECISION (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) AVERAGE_PRECISION_SCORE (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute)

B

Batch (class in watson_machine_learning_client.deployment)

BINARY (watson_machine_learning_client.utils.autoai.enums.PredictionType attribute)

C

cancel() (client.Training method) ClassificationAlgorithms (class in watson_machine_learning_client.utils.autoai.enums) clone() (client.Experiments method) (client.Pipelines method) (client.Repository method) clone_library() (client.Runtimes method) clone_runtime() (client.Runtimes method) COMPLETED (watson_machine_learning_client.utils.autoai.enums.RunStateTypes attribute) ConfigurationMetaNames (client.Assets attribute) (client.Experiments attribute) (client.ModelDefinition attribute) (client.Pipelines attribute) create() (client.Assets method) (client.Deployments method) (watson_machine_learning_client.deployment.Batch method) (watson_machine_learning_client.deployment.WebService method)

create_experiment_revision() (client.Repository method) create_function_revision() (client.Repository method) create_job() (client.Deployments method) create_member() (client.Repository method) (client.Spaces method) create_model_revision() (client.Repository method) create_pipeline_revision() (client.Repository method) create_revision() (client.Experiments method) (client.Pipelines method) (client.Repository method)

D

DataConnection (class in watson_machine_learning_client.helpers.connections.connections) DataConnectionTypes (class in watson_machine_learning_client.utils.autoai.enums) DecisionOptimizationMetaNames (class in metanames) default_project() (client.Set method) default_space() (client.Set method) delete() (client.Assets method) (client.Deployments method) (client.Experiments method) (client.ModelDefinition method) (client.Pipelines method) (client.Repository method) (client.Runtimes method) (client.Spaces method) (watson_machine_learning_client.deployment.Batch method) (watson_machine_learning_client.deployment.WebService method) delete_job() (client.Deployments method)

delete_library() (client.Runtimes method) delete_members() (client.Spaces method) DeploymentMetaNames (class in metanames) DeploymentOutputAssetLocation (class in watson_machine_learning_client.helpers.connections.connections) Deployments (class in client) DESCENDING (watson_machine_learning_client.utils.autoai.enums.Directions attribute) Directions (class in watson_machine_learning_client.utils.autoai.enums) download() (client.Assets method) (client.Deployments method) (client.Repository method) (client.Spaces method) download_configuration() (client.Runtimes method) download_library() (client.Runtimes method) DS (watson_machine_learning_client.utils.autoai.enums.DataConnectionTypes attribute) DT (watson_machine_learning_client.utils.autoai.enums.ClassificationAlgorithms attribute) (watson_machine_learning_client.utils.autoai.enums.RegressionAlgorithms attribute)

E

EX_TREES (watson_machine_learning_client.utils.autoai.enums.ClassificationAlgorithms attribute) (watson_machine_learning_client.utils.autoai.enums.RegressionAlgorithms attribute) ExperimentMetaNames (class in metanames), [1] Experiments (class in client)

EXPLAINED_VARIANCE (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) EXPLAINED_VARIANCE_SCORE (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) ExportMetaNames (client.Spaces attribute) exports() (client.Spaces method)

F

F1 (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) F1_MACRO (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) F1_MICRO (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) F1_SCORE (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute) F1_SCORE_MACRO (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute) F1_SCORE_MICRO (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute)

F1_SCORE_WEIGHTED (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute) F1_WEIGHTED (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) FAILED (watson_machine_learning_client.utils.autoai.enums.RunStateTypes attribute) from_studio() (watson_machine_learning_client.helpers.connections.connections.DataConnection class method) FS (watson_machine_learning_client.utils.autoai.enums.DataConnectionTypes attribute) FunctionMetaNames (class in metanames)

G

GB (watson_machine_learning_client.utils.autoai.enums.ClassificationAlgorithms attribute) (watson_machine_learning_client.utils.autoai.enums.RegressionAlgorithms attribute) get() (watson_machine_learning_client.deployment.Batch method) (watson_machine_learning_client.deployment.WebService method) get_api_key() (client.ServiceInstance method) get_credentials_from_config (class in watson_machine_learning_client.helpers.helpers) get_details() (client.Assets method) (client.Deployments method) (client.Experiments method) (client.ModelDefinition method) (client.Pipelines method) (client.Repository method) (client.Runtimes method) (client.ServiceInstance method) (client.Spaces method) (client.Training method) get_download_url() (client.Deployments static method) get_experiment_details() (client.Repository method) get_experiment_href() (client.Repository static method) get_experiment_revision_details() (client.Repository method) get_experiment_uid() (client.Repository static method) get_exports_details() (client.Spaces method) get_exports_uid() (client.Spaces static method) get_function_details() (client.Repository method) get_function_href() (client.Repository static method) get_function_revision_details() (client.Repository method) get_function_uid() (client.Repository static method) get_href() (client.Assets static method) (client.Deployments static method) (client.Experiments static method) (client.ModelDefinition method) (client.Pipelines static method) (client.Runtimes static method) (client.Spaces static method) (client.Training static method) get_imports_details() (client.Spaces method) get_imports_uid() (client.Spaces static method) get_instance_id() (client.ServiceInstance method) get_job_details() (client.Deployments method) get_job_href() (client.Deployments method) get_job_id() (watson_machine_learning_client.deployment.Batch method) get_job_params() (watson_machine_learning_client.deployment.Batch method)

get_job_result() (watson_machine_learning_client.deployment.Batch method) get_job_status() (client.Deployments method) (watson_machine_learning_client.deployment.Batch method) get_job_uid() (client.Deployments method) get_library_details() (client.Runtimes method) get_library_href() (client.Runtimes static method) get_library_uid() (client.Runtimes static method) get_member_href() (client.Repository static method) (client.Spaces static method) get_member_uid() (client.Repository static method) (client.Spaces static method) get_members_details() (client.Repository method) (client.Spaces method) get_metrics() (client.Training method) get_model_details() (client.Repository method) get_model_href() (client.Repository static method) get_model_revision_details() (client.Repository method) get_model_uid() (client.Repository static method) get_params() (watson_machine_learning_client.deployment.Batch method) (watson_machine_learning_client.deployment.WebService method) get_password() (client.ServiceInstance method) get_pipeline_details() (client.Repository method) get_pipeline_href() (client.Repository static method) get_pipeline_revision_details() (client.Repository method) get_pipeline_uid() (client.Repository static method) get_revision_details() (client.Experiments method) (client.Pipelines method) get_scoring_href() (client.Deployments static method) get_space_details() (client.Repository method) get_space_href() (client.Repository static method) get_space_uid() (client.Repository static method) get_status() (client.Training method) get_uid() (client.Assets static method) (client.Deployments static method) (client.Experiments static method) (client.ModelDefinition method) (client.Pipelines static method) (client.Runtimes static method) (client.Spaces static method) (client.Training static method) get_url() (client.ServiceInstance method) get_username() (client.ServiceInstance method)

I

imports() (client.Spaces method)

INPLACE (watson_machine_learning_client.utils.autoai.enums.VisualizationTypes attribute)

L

L (watson_machine_learning_client.utils.autoai.enums.TShirtSize attribute) LALE (watson_machine_learning_client.utils.autoai.enums.PipelineTypes attribute) LGBM (watson_machine_learning_client.utils.autoai.enums.ClassificationAlgorithms attribute) (watson_machine_learning_client.utils.autoai.enums.RegressionAlgorithms attribute) LibraryMetaNames (class in metanames) list() (client.Assets method) (client.Deployments method) (client.Experiments method) (client.ModelDefinition method) (client.Pipelines method) (client.Repository method) (client.Runtimes method) (client.Spaces method) (client.Training method) (watson_machine_learning_client.deployment.Batch method) (watson_machine_learning_client.deployment.WebService method) list_experiments() (client.Repository method) list_experiments_revisions() (client.Repository method) list_functions() (client.Repository method)

list_functions_revisions() (client.Repository method) list_intermediate_models() (client.Training method) list_jobs() (client.Deployments method) (watson_machine_learning_client.deployment.Batch method) list_libraries() (client.Runtimes method) list_members() (client.Repository method) (client.Spaces method) list_models() (client.Repository method) list_models_revisions() (client.Repository method) list_pipelines() (client.Repository method) list_pipelines_revisions() (client.Repository method) list_revisions() (client.Experiments method) (client.ModelDefinition method) (client.Pipelines method) list_spaces() (client.Repository method) list_subtrainings() (client.Training method) load() (client.Repository method) LOG_LOSS (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) LR (watson_machine_learning_client.utils.autoai.enums.ClassificationAlgorithms attribute) (watson_machine_learning_client.utils.autoai.enums.RegressionAlgorithms attribute)

M

M (watson_machine_learning_client.utils.autoai.enums.TShirtSize attribute) MEAN_ABSOLUTE_ERROR (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) MEAN_SQUARED_ERROR (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) MEAN_SQUARED_LOG_ERROR (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) MEDIAN_ABSOLUTE_ERROR (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) MemberMetaNames (class in metanames) Metrics (class in watson_machine_learning_client.utils.autoai.enums) MetricsToDirections (class in watson_machine_learning_client.utils.autoai.enums)

ML (watson_machine_learning_client.utils.autoai.enums.TShirtSize attribute) ModelDefinition (class in client) ModelDefinitionMetaNames (class in metanames) ModelMetaNames (class in metanames) module watson_machine_learning_client.utils.autoai.enums monitor_logs() (client.Training method) monitor_metrics() (client.Training method) MULTICLASS (watson_machine_learning_client.utils.autoai.enums.PredictionType attribute)

N

NEG_LOG_LOSS (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) NEG_MEAN_ABSOLUTE_ERROR (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) NEG_MEAN_SQUARED_ERROR (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) NEG_MEAN_SQUARED_LOG_ERROR (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute)

NEG_MEDIAN_ABSOLUTE_ERROR (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) NEG_ROOT_MEAN_SQUARED_ERROR (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) NEG_ROOT_MEAN_SQUARED_LOG_ERROR (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) NORMALIZED_GINI_COEFFICIENT (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute)

P

PDF (watson_machine_learning_client.utils.autoai.enums.VisualizationTypes attribute) PipelineMetanames (class in metanames), [1] Pipelines (class in client) PipelineTypes (class in watson_machine_learning_client.utils.autoai.enums) PositiveLabelClass (class in watson_machine_learning_client.utils.autoai.enums) PRECISION (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) PRECISION_MACRO (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) PRECISION_MICRO (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) PRECISION_SCORE (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute)

PRECISION_SCORE_MACRO (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute) PRECISION_SCORE_MICRO (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute) PRECISION_SCORE_WEIGHTED (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute) PRECISION_WEIGHTED (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) PredictionType (class in watson_machine_learning_client.utils.autoai.enums)

R

R2 (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) R2_SCORE (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) read() (watson_machine_learning_client.helpers.connections.connections.DataConnection method) RECALL (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) RECALL_MACRO (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) RECALL_MICRO (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) RECALL_SCORE (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute) RECALL_SCORE_MACRO (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute) RECALL_SCORE_MICRO (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute) RECALL_SCORE_WEIGHTED (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) (watson_machine_learning_client.utils.autoai.enums.PositiveLabelClass attribute) RECALL_WEIGHTED (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute)

REGRESSION (watson_machine_learning_client.utils.autoai.enums.PredictionType attribute) RegressionAlgorithms (class in watson_machine_learning_client.utils.autoai.enums) Repository (class in client) rerun_job() (watson_machine_learning_client.deployment.Batch method) RF (watson_machine_learning_client.utils.autoai.enums.ClassificationAlgorithms attribute) (watson_machine_learning_client.utils.autoai.enums.RegressionAlgorithms attribute) RIDGE (watson_machine_learning_client.utils.autoai.enums.RegressionAlgorithms attribute) ROC_AUC (watson_machine_learning_client.utils.autoai.enums.MetricsToDirections attribute) ROC_AUC_SCORE (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) ROOT_MEAN_SQUARED_ERROR (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) ROOT_MEAN_SQUARED_LOG_ERROR (watson_machine_learning_client.utils.autoai.enums.Metrics attribute) run() (client.Training method) run_job() (watson_machine_learning_client.deployment.Batch method) RunStateTypes (class in watson_machine_learning_client.utils.autoai.enums) RuntimeMetaNames (class in metanames) Runtimes (class in client)

S

S (watson_machine_learning_client.utils.autoai.enums.TShirtSize attribute) S3 (watson_machine_learning_client.utils.autoai.enums.DataConnectionTypes attribute) S3Connection (class in watson_machine_learning_client.helpers.connections.connections) S3Location (class in watson_machine_learning_client.helpers.connections.connections) score() (client.Deployments method) (watson_machine_learning_client.deployment.Batch method) (watson_machine_learning_client.deployment.WebService method) ScoringMetaNames (class in metanames) ServiceInstance (class in client) Set (class in client) SKLEARN (watson_machine_learning_client.utils.autoai.enums.PipelineTypes attribute) Spaces (class in client)

SpacesMetaNames (class in metanames), [1] store() (client.Assets method) (client.Experiments method) (client.ModelDefinition method) (client.Pipelines method) (client.Runtimes method) (client.Spaces method) store_experiment() (client.Repository method) store_function() (client.Repository method) store_library() (client.Runtimes method) store_model() (client.Repository method) store_pipeline() (client.Repository method) store_space() (client.Repository method)

T

Training (class in client)

TrainingConfigurationMetaNames (class in metanames) TShirtSize (class in watson_machine_learning_client.utils.autoai.enums)

U

update() (client.Deployments method) (client.Experiments method) (client.Pipelines method) (client.Spaces method) update_experiment() (client.Repository method) update_function() (client.Repository method)

update_library() (client.Runtimes method) update_member() (client.Spaces method) update_model() (client.Repository method) update_pipeline() (client.Repository method) update_runtime() (client.Runtimes method) update_space() (client.Repository method)

V

VisualizationTypes (class in watson_machine_learning_client.utils.autoai.enums)

W

watson_machine_learning_client.utils.autoai.enums module

WebService (class in watson_machine_learning_client.deployment) write() (watson_machine_learning_client.helpers.connections.connections.DataConnection method)

X

XGB (watson_machine_learning_client.utils.autoai.enums.ClassificationAlgorithms attribute) (watson_machine_learning_client.utils.autoai.enums.RegressionAlgorithms attribute)

XL (watson_machine_learning_client.utils.autoai.enums.TShirtSize attribute)