API#
ibm-watson-machine-learning client contains different apis available for autoai and assets management.
Prerequisites#
Initialize the client using Watson Machine Learning instance details referring to the Setup section.
Modules#
- Core
- Connections
ConnectionsConnections.ConfigurationMetaNamesConnections.create()Connections.delete()Connections.get_datasource_type_uid_by_name()Connections.get_details()Connections.get_uid()Connections.list()Connections.list_datasource_types()Connections.list_uploaded_db_drivers()Connections.sign_db_driver_url()Connections.upload_db_driver()
ConnectionMetaNames
- Data assets
- Deployments
DeploymentsDeployments.create()Deployments.create_job()Deployments.delete()Deployments.delete_job()Deployments.generate()Deployments.generate_text()Deployments.generate_text_stream()Deployments.get_details()Deployments.get_download_url()Deployments.get_href()Deployments.get_id()Deployments.get_job_details()Deployments.get_job_href()Deployments.get_job_status()Deployments.get_job_uid()Deployments.get_scoring_href()Deployments.get_serving_href()Deployments.get_uid()Deployments.is_serving_name_available()Deployments.list()Deployments.list_jobs()Deployments.score()Deployments.update()
DeploymentNewMetaNamesRShinyAuthenticationValuesScoringMetaNamesDecisionOptimizationMetaNames
- Export/Import
- Factsheets (IBM Cloud only)
- Hardware specifications
- Helpers
- Model definitions
ModelDefinitionModelDefinition.ConfigurationMetaNamesModelDefinition.create_revision()ModelDefinition.delete()ModelDefinition.download()ModelDefinition.get_details()ModelDefinition.get_href()ModelDefinition.get_id()ModelDefinition.get_revision_details()ModelDefinition.get_uid()ModelDefinition.list()ModelDefinition.list_revisions()ModelDefinition.store()ModelDefinition.update()
ModelDefinitionMetaNames
- Package extensions
- Repository
RepositoryRepository.create_experiment_revision()Repository.create_function_revision()Repository.create_member()Repository.create_model_revision()Repository.create_pipeline_revision()Repository.create_revision()Repository.delete()Repository.download()Repository.get_details()Repository.get_experiment_details()Repository.get_experiment_href()Repository.get_experiment_id()Repository.get_experiment_revision_details()Repository.get_experiment_uid()Repository.get_function_details()Repository.get_function_href()Repository.get_function_id()Repository.get_function_revision_details()Repository.get_function_uid()Repository.get_member_href()Repository.get_member_uid()Repository.get_members_details()Repository.get_model_details()Repository.get_model_href()Repository.get_model_id()Repository.get_model_revision_details()Repository.get_model_uid()Repository.get_pipeline_details()Repository.get_pipeline_href()Repository.get_pipeline_id()Repository.get_pipeline_revision_details()Repository.get_pipeline_uid()Repository.get_space_details()Repository.get_space_href()Repository.get_space_uid()Repository.list()Repository.list_experiments()Repository.list_experiments_revisions()Repository.list_functions()Repository.list_functions_revisions()Repository.list_members()Repository.list_models()Repository.list_models_revisions()Repository.list_pipelines()Repository.list_pipelines_revisions()Repository.list_spaces()Repository.load()Repository.promote_model()Repository.store_experiment()Repository.store_function()Repository.store_model()Repository.store_pipeline()Repository.store_space()Repository.update_experiment()Repository.update_function()Repository.update_model()Repository.update_pipeline()Repository.update_space()
ModelMetaNamesExperimentMetaNamesFunctionMetaNamesPipelineMetanames
- Runtimes
RuntimesRuntimes.clone_library()Runtimes.clone_runtime()Runtimes.delete()Runtimes.delete_library()Runtimes.download_configuration()Runtimes.download_library()Runtimes.get_details()Runtimes.get_href()Runtimes.get_library_details()Runtimes.get_library_href()Runtimes.get_library_uid()Runtimes.get_uid()Runtimes.list()Runtimes.list_libraries()Runtimes.store()Runtimes.store_library()Runtimes.update_library()Runtimes.update_runtime()
RuntimeMetaNames
- Script
- Service instance
- Set
- Shiny (IBM Cloud Pak for Data only)
- Software specifications
- Spaces
PlatformSpacesPlatformSpaces.ConfigurationMetaNamesPlatformSpaces.MemberMetaNamesPlatformSpaces.create_member()PlatformSpaces.delete()PlatformSpaces.delete_member()PlatformSpaces.get_details()PlatformSpaces.get_id()PlatformSpaces.get_member_details()PlatformSpaces.get_uid()PlatformSpaces.list()PlatformSpaces.list_members()PlatformSpaces.promote()PlatformSpaces.store()PlatformSpaces.update()PlatformSpaces.update_member()
SpacesPlatformMetaNamesSpacesPlatformMemberMetaNames
- Training
- Enums
ClassificationAlgorithmsClassificationAlgorithms.DTClassificationAlgorithms.EX_TREESClassificationAlgorithms.GBClassificationAlgorithms.LGBMClassificationAlgorithms.LRClassificationAlgorithms.RFClassificationAlgorithms.SnapBMClassificationAlgorithms.SnapDTClassificationAlgorithms.SnapLRClassificationAlgorithms.SnapRFClassificationAlgorithms.SnapSVMClassificationAlgorithms.XGB
ClassificationAlgorithmsCP4DClassificationAlgorithmsCP4D.DTClassificationAlgorithmsCP4D.EX_TREESClassificationAlgorithmsCP4D.GBClassificationAlgorithmsCP4D.LGBMClassificationAlgorithmsCP4D.LRClassificationAlgorithmsCP4D.RFClassificationAlgorithmsCP4D.SnapBMClassificationAlgorithmsCP4D.SnapDTClassificationAlgorithmsCP4D.SnapLRClassificationAlgorithmsCP4D.SnapRFClassificationAlgorithmsCP4D.SnapSVMClassificationAlgorithmsCP4D.XGB
DataConnectionTypesDirectionsForecastingAlgorithmsForecastingAlgorithmsCP4DForecastingPipelineTypesForecastingPipelineTypes.ARIMAForecastingPipelineTypes.ARIMAXForecastingPipelineTypes.ARIMAX_DMLRForecastingPipelineTypes.ARIMAX_PALRForecastingPipelineTypes.ARIMAX_RARForecastingPipelineTypes.ARIMAX_RSARForecastingPipelineTypes.BatsForecastingPipelineTypes.DifferenceFlattenEnsemblerForecastingPipelineTypes.ExogenousDifferenceFlattenEnsemblerForecastingPipelineTypes.ExogenousFlattenEnsemblerForecastingPipelineTypes.ExogenousLocalizedFlattenEnsemblerForecastingPipelineTypes.ExogenousMT2RForecasterForecastingPipelineTypes.ExogenousRandomForestRegressorForecastingPipelineTypes.ExogenousSVMForecastingPipelineTypes.FlattenEnsemblerForecastingPipelineTypes.HoltWinterAdditiveForecastingPipelineTypes.HoltWinterMultiplicativeForecastingPipelineTypes.LocalizedFlattenEnsemblerForecastingPipelineTypes.MT2RForecasterForecastingPipelineTypes.RandomForestRegressorForecastingPipelineTypes.SVMForecastingPipelineTypes.get_exogenous()ForecastingPipelineTypes.get_non_exogenous()
ImputationStrategyImputationStrategy.BEST_OF_DEFAULT_IMPUTERSImputationStrategy.CUBICImputationStrategy.FLATTEN_ITERATIVEImputationStrategy.LINEARImputationStrategy.MEANImputationStrategy.MEDIANImputationStrategy.MOST_FREQUENTImputationStrategy.NEXTImputationStrategy.NO_IMPUTATIONImputationStrategy.PREVIOUSImputationStrategy.VALUE
MetricsMetrics.ACCURACY_AND_DISPARATE_IMPACT_SCOREMetrics.ACCURACY_SCOREMetrics.AVERAGE_PRECISION_SCOREMetrics.EXPLAINED_VARIANCE_SCOREMetrics.F1_SCOREMetrics.F1_SCORE_MACROMetrics.F1_SCORE_MICROMetrics.F1_SCORE_WEIGHTEDMetrics.LOG_LOSSMetrics.MEAN_ABSOLUTE_ERRORMetrics.MEAN_SQUARED_ERRORMetrics.MEAN_SQUARED_LOG_ERRORMetrics.MEDIAN_ABSOLUTE_ERRORMetrics.PRECISION_SCOREMetrics.PRECISION_SCORE_MACROMetrics.PRECISION_SCORE_MICROMetrics.PRECISION_SCORE_WEIGHTEDMetrics.R2_AND_DISPARATE_IMPACT_SCOREMetrics.R2_SCOREMetrics.RECALL_SCOREMetrics.RECALL_SCORE_MACROMetrics.RECALL_SCORE_MICROMetrics.RECALL_SCORE_WEIGHTEDMetrics.ROC_AUC_SCOREMetrics.ROOT_MEAN_SQUARED_ERRORMetrics.ROOT_MEAN_SQUARED_LOG_ERROR
MetricsToDirectionsMetricsToDirections.ACCURACYMetricsToDirections.AVERAGE_PRECISIONMetricsToDirections.EXPLAINED_VARIANCEMetricsToDirections.F1MetricsToDirections.F1_MACROMetricsToDirections.F1_MICROMetricsToDirections.F1_WEIGHTEDMetricsToDirections.NEG_LOG_LOSSMetricsToDirections.NEG_MEAN_ABSOLUTE_ERRORMetricsToDirections.NEG_MEAN_SQUARED_ERRORMetricsToDirections.NEG_MEAN_SQUARED_LOG_ERRORMetricsToDirections.NEG_MEDIAN_ABSOLUTE_ERRORMetricsToDirections.NEG_ROOT_MEAN_SQUARED_ERRORMetricsToDirections.NEG_ROOT_MEAN_SQUARED_LOG_ERRORMetricsToDirections.NORMALIZED_GINI_COEFFICIENTMetricsToDirections.PRECISIONMetricsToDirections.PRECISION_MACROMetricsToDirections.PRECISION_MICROMetricsToDirections.PRECISION_WEIGHTEDMetricsToDirections.R2MetricsToDirections.RECALLMetricsToDirections.RECALL_MACROMetricsToDirections.RECALL_MICROMetricsToDirections.RECALL_WEIGHTEDMetricsToDirections.ROC_AUC
PipelineTypesPositiveLabelClassPositiveLabelClass.AVERAGE_PRECISION_SCOREPositiveLabelClass.F1_SCOREPositiveLabelClass.F1_SCORE_MACROPositiveLabelClass.F1_SCORE_MICROPositiveLabelClass.F1_SCORE_WEIGHTEDPositiveLabelClass.PRECISION_SCOREPositiveLabelClass.PRECISION_SCORE_MACROPositiveLabelClass.PRECISION_SCORE_MICROPositiveLabelClass.PRECISION_SCORE_WEIGHTEDPositiveLabelClass.RECALL_SCOREPositiveLabelClass.RECALL_SCORE_MACROPositiveLabelClass.RECALL_SCORE_MICROPositiveLabelClass.RECALL_SCORE_WEIGHTED
PredictionTypeRegressionAlgorithmsRegressionAlgorithmsCP4DRegressionAlgorithmsCP4D.DTRegressionAlgorithmsCP4D.EX_TREESRegressionAlgorithmsCP4D.GBRegressionAlgorithmsCP4D.LGBMRegressionAlgorithmsCP4D.LRRegressionAlgorithmsCP4D.RFRegressionAlgorithmsCP4D.RIDGERegressionAlgorithmsCP4D.SnapBMRegressionAlgorithmsCP4D.SnapDTRegressionAlgorithmsCP4D.SnapRFRegressionAlgorithmsCP4D.XGB
RunStateTypesSamplingTypesTShirtSizeTimeseriesAnomalyPredictionAlgorithmsTimeseriesAnomalyPredictionPipelineTypesTimeseriesAnomalyPredictionPipelineTypes.PointwiseBoundedBATSTimeseriesAnomalyPredictionPipelineTypes.PointwiseBoundedBATSForceUpdateTimeseriesAnomalyPredictionPipelineTypes.PointwiseBoundedHoltWintersAdditiveTimeseriesAnomalyPredictionPipelineTypes.WindowLOFTimeseriesAnomalyPredictionPipelineTypes.WindowNNTimeseriesAnomalyPredictionPipelineTypes.WindowPCA
TransformersTransformers.ABSTransformers.CBRTTransformers.COSTransformers.CUBETransformers.DIFFTransformers.DIVIDETransformers.FEATUREAGGLOMERATIONTransformers.ISOFORESTANOMALYTransformers.LOGTransformers.MAXTransformers.MINMAXSCALERTransformers.NXORTransformers.PCATransformers.PRODUCTTransformers.ROUNDTransformers.SIGMOIDTransformers.SINTransformers.SQRTTransformers.SQUARETransformers.STDSCALERTransformers.SUMTransformers.TAN
VisualizationTypes
- Connections
- Federated Learning
- Aggregation
- Local training
- Configure and start local training
RemoteTrainingSystemRemoteTrainingSystem.create_party()RemoteTrainingSystem.create_revision()RemoteTrainingSystem.delete()RemoteTrainingSystem.get_details()RemoteTrainingSystem.get_id()RemoteTrainingSystem.get_revision_details()RemoteTrainingSystem.list()RemoteTrainingSystem.list_revisions()RemoteTrainingSystem.store()RemoteTrainingSystem.update()
Party
- Configure and start local training
- AutoAI
- Working with AutoAI class and optimizer
- Configure optimizer with one data source
- Configure optimizer for time series forecasting
- Configure optimizer for time series forecasting with supporting features
- Get configuration parameters
- Fit optimizer
- Get run status, get run details
- Get data connections
- Get preprocessed data connection (joined data only)
- Summary
- Get pipeline details
- Get pipeline
- Working with deployments
- Web Service
- Batch
- Working with DataConnection
- AutoAI experiment
- AutoAI
AutoAIAutoAI.ClassificationAlgorithmsAutoAI.ClassificationAlgorithms.DTAutoAI.ClassificationAlgorithms.EX_TREESAutoAI.ClassificationAlgorithms.GBAutoAI.ClassificationAlgorithms.LGBMAutoAI.ClassificationAlgorithms.LRAutoAI.ClassificationAlgorithms.RFAutoAI.ClassificationAlgorithms.SnapBMAutoAI.ClassificationAlgorithms.SnapDTAutoAI.ClassificationAlgorithms.SnapLRAutoAI.ClassificationAlgorithms.SnapRFAutoAI.ClassificationAlgorithms.SnapSVMAutoAI.ClassificationAlgorithms.XGB
AutoAI.DataConnectionTypesAutoAI.ForecastingAlgorithmsAutoAI.MetricsAutoAI.Metrics.ACCURACY_AND_DISPARATE_IMPACT_SCOREAutoAI.Metrics.ACCURACY_SCOREAutoAI.Metrics.AVERAGE_PRECISION_SCOREAutoAI.Metrics.EXPLAINED_VARIANCE_SCOREAutoAI.Metrics.F1_SCOREAutoAI.Metrics.F1_SCORE_MACROAutoAI.Metrics.F1_SCORE_MICROAutoAI.Metrics.F1_SCORE_WEIGHTEDAutoAI.Metrics.LOG_LOSSAutoAI.Metrics.MEAN_ABSOLUTE_ERRORAutoAI.Metrics.MEAN_SQUARED_ERRORAutoAI.Metrics.MEAN_SQUARED_LOG_ERRORAutoAI.Metrics.MEDIAN_ABSOLUTE_ERRORAutoAI.Metrics.PRECISION_SCOREAutoAI.Metrics.PRECISION_SCORE_MACROAutoAI.Metrics.PRECISION_SCORE_MICROAutoAI.Metrics.PRECISION_SCORE_WEIGHTEDAutoAI.Metrics.R2_AND_DISPARATE_IMPACT_SCOREAutoAI.Metrics.R2_SCOREAutoAI.Metrics.RECALL_SCOREAutoAI.Metrics.RECALL_SCORE_MACROAutoAI.Metrics.RECALL_SCORE_MICROAutoAI.Metrics.RECALL_SCORE_WEIGHTEDAutoAI.Metrics.ROC_AUC_SCOREAutoAI.Metrics.ROOT_MEAN_SQUARED_ERRORAutoAI.Metrics.ROOT_MEAN_SQUARED_LOG_ERROR
AutoAI.PipelineTypesAutoAI.PredictionTypeAutoAI.RegressionAlgorithmsAutoAI.RegressionAlgorithms.DTAutoAI.RegressionAlgorithms.EX_TREESAutoAI.RegressionAlgorithms.GBAutoAI.RegressionAlgorithms.LGBMAutoAI.RegressionAlgorithms.LRAutoAI.RegressionAlgorithms.RFAutoAI.RegressionAlgorithms.RIDGEAutoAI.RegressionAlgorithms.SnapBMAutoAI.RegressionAlgorithms.SnapDTAutoAI.RegressionAlgorithms.SnapRFAutoAI.RegressionAlgorithms.XGB
AutoAI.SamplingTypesAutoAI.TShirtSizeAutoAI.TransformersAutoAI.Transformers.ABSAutoAI.Transformers.CBRTAutoAI.Transformers.COSAutoAI.Transformers.CUBEAutoAI.Transformers.DIFFAutoAI.Transformers.DIVIDEAutoAI.Transformers.FEATUREAGGLOMERATIONAutoAI.Transformers.ISOFORESTANOMALYAutoAI.Transformers.LOGAutoAI.Transformers.MAXAutoAI.Transformers.MINMAXSCALERAutoAI.Transformers.NXORAutoAI.Transformers.PCAAutoAI.Transformers.PRODUCTAutoAI.Transformers.ROUNDAutoAI.Transformers.SIGMOIDAutoAI.Transformers.SINAutoAI.Transformers.SQRTAutoAI.Transformers.SQUAREAutoAI.Transformers.STDSCALERAutoAI.Transformers.SUMAutoAI.Transformers.TAN
AutoAI.optimizer()AutoAI.runs()
- AutoAI
- DataConnection Modules
- Deployment Modules for AutoAI models
- Working with AutoAI class and optimizer
- Foundation Models
- Modules
- Models
- Modules
- Model
Model- Enums
GenTextParamsMetaNamesGenTextReturnOptMetaNamesDecodingMethodsModelTypesModelTypes.CODELLAMA_34B_INSTRUCT_HFModelTypes.ELYZA_JAPANESE_LLAMA_2_7B_INSTRUCTModelTypes.FLAN_T5_XLModelTypes.FLAN_T5_XXLModelTypes.FLAN_UL2ModelTypes.GPT_NEOXModelTypes.GRANITE_13B_CHATModelTypes.GRANITE_13B_CHAT_V2ModelTypes.GRANITE_13B_INSTRUCTModelTypes.GRANITE_13B_INSTRUCT_V2ModelTypes.GRANITE_20B_MULTILINGUALModelTypes.LLAMA_2_13B_CHATModelTypes.LLAMA_2_70B_CHATModelTypes.MIXTRAL_8X7B_INSTRUCT_V01_QModelTypes.MPT_7B_INSTRUCT2ModelTypes.MT0_XXLModelTypes.STARCODER
- ModelInference
ModelInferencefor Deployments
- Model
- Modules
- Prompt Tuning
- Prompt Template Manager
- Extensions
- Helpers
- Models
- Modules