Index

A

ABS (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) ACCURACY (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) ACCURACY_AND_DISPARATE_IMPACT_SCORE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) ACCURACY_SCORE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) add_package_extension() (client.SwSpec method) ANY_VALID_USER (ibm_watson_machine_learning.utils.enums.RShinyAuthenticationValues attribute) ANYONE_WITH_URL (ibm_watson_machine_learning.utils.enums.RShinyAuthenticationValues attribute) ARIMA (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) ARIMAX (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) ARIMAX_DMLR (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) ARIMAX_PALR (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) ARIMAX_RAR (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute)

ARIMAX_RSAR (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) ASCENDING (ibm_watson_machine_learning.utils.autoai.enums.Directions attribute) Assets (class in client) AssetsMetaNames (class in metanames) AutoAI (class in ibm_watson_machine_learning.experiment.autoai.autoai) AutoAI.ClassificationAlgorithms (class in ibm_watson_machine_learning.experiment.autoai.autoai) AutoAI.DataConnectionTypes (class in ibm_watson_machine_learning.experiment.autoai.autoai) AutoAI.ForecastingAlgorithms (class in ibm_watson_machine_learning.experiment.autoai.autoai) AutoAI.Metrics (class in ibm_watson_machine_learning.experiment.autoai.autoai) AutoAI.PipelineTypes (class in ibm_watson_machine_learning.experiment.autoai.autoai) AutoAI.PredictionType (class in ibm_watson_machine_learning.experiment.autoai.autoai) AutoAI.RegressionAlgorithms (class in ibm_watson_machine_learning.experiment.autoai.autoai) AutoAI.SamplingTypes (class in ibm_watson_machine_learning.experiment.autoai.autoai) AutoAI.Transformers (class in ibm_watson_machine_learning.experiment.autoai.autoai) AutoAI.TShirtSize (class in ibm_watson_machine_learning.experiment.autoai.autoai) AVERAGE_PRECISION (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) AVERAGE_PRECISION_SCORE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute)

B

Batch (class in ibm_watson_machine_learning.deployment) BATS (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithmsCP4D attribute)

Bats (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) BEST_OF_DEFAULT_IMPUTERS (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute) BINARY (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.PredictionType attribute) (ibm_watson_machine_learning.utils.autoai.enums.PredictionType attribute)

C

CA (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.DataConnectionTypes attribute) (ibm_watson_machine_learning.utils.autoai.enums.DataConnectionTypes attribute) cancel() (client.Export method) (client.Import method) (client.Training method) (party_wrapper.Party method) cancel_run() (ibm_watson_machine_learning.foundation_models.PromptTuner method) CBRT (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) CLASSIFICATION (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.PredictionType attribute) (ibm_watson_machine_learning.foundation_models.utils.enums.TuneExperimentTasks attribute) (ibm_watson_machine_learning.utils.autoai.enums.PredictionType attribute) ClassificationAlgorithms (class in ibm_watson_machine_learning.utils.autoai.enums) ClassificationAlgorithmsCP4D (class in ibm_watson_machine_learning.utils.autoai.enums) clone_library() (ibm_watson_machine_learning.runtimes.Runtimes method) clone_runtime() (ibm_watson_machine_learning.runtimes.Runtimes method) CloudAssetLocation (class in ibm_watson_machine_learning.helpers.connections.connections) CN (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.DataConnectionTypes attribute) (ibm_watson_machine_learning.utils.autoai.enums.DataConnectionTypes attribute) CODE_GENERATION_AND_CONVERSION (ibm_watson_machine_learning.foundation_models.utils.enums.TuneExperimentTasks attribute) CODELLAMA_34B_INSTRUCT_HF (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) COMPLETED (ibm_watson_machine_learning.utils.autoai.enums.RunStateTypes attribute) ConfigurationMetaNames (client.Assets attribute) (client.Connections attribute) (client.HwSpec attribute) (client.ModelDefinition attribute) (client.PkgExtn attribute) (client.PlatformSpaces attribute) (client.Script attribute) (client.Shiny attribute) (client.SwSpec attribute)

ConnectionMetaNames (class in metanames) Connections (class in client) COS (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) create() (client.Assets method) (client.Connections method) (client.Deployments method) (ibm_watson_machine_learning.deployment.Batch method) (ibm_watson_machine_learning.deployment.WebService method) create_experiment_revision() (client.Repository method) create_function_revision() (client.Repository method) create_job() (client.Deployments method) create_member() (client.PlatformSpaces method) (client.Repository method) create_model_revision() (client.Repository method) create_party() (remote_training_system.RemoteTrainingSystem method) create_pipeline_revision() (client.Repository method) create_revision() (client.ModelDefinition method) (client.Repository method) (client.Script method) (client.Shiny method) (remote_training_system.RemoteTrainingSystem method) CUBE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) CUBIC (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute)

D

DataConnection (class in ibm_watson_machine_learning.helpers.connections.connections) DataConnectionTypes (class in ibm_watson_machine_learning.utils.autoai.enums) DecisionOptimizationMetaNames (class in metanames) DecodingMethods (class in ibm_watson_machine_learning.foundation_models.utils.enums) default_project() (client.Set method) default_space() (client.Set method) delete() (client.Assets method) (client.Connections method) (client.Deployments method) (client.Export method) (client.HwSpec method) (client.Import method) (client.ModelDefinition method) (client.PkgExtn method) (client.PlatformSpaces method) (client.Repository method) (client.Script method) (client.Shiny method) (client.SwSpec method) (ibm_watson_machine_learning.deployment.Batch method) (ibm_watson_machine_learning.deployment.WebService method) (ibm_watson_machine_learning.runtimes.Runtimes method) (remote_training_system.RemoteTrainingSystem method) delete_job() (client.Deployments method) delete_library() (ibm_watson_machine_learning.runtimes.Runtimes method) delete_member() (client.PlatformSpaces method) delete_package_extension() (client.SwSpec method)

delete_prompt() (ibm_watson_machine_learning.foundation_models.prompts.PromptTemplateManager method) DeploymentNewMetaNames (class in metanames) DeploymentOutputAssetLocation (class in ibm_watson_machine_learning.helpers.connections.connections) Deployments (class in client) DESCENDING (ibm_watson_machine_learning.utils.autoai.enums.Directions attribute) DIFF (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) DifferenceFlattenEnsembler (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) Directions (class in ibm_watson_machine_learning.utils.autoai.enums) DIVIDE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) download() (client.Assets method) (client.ModelDefinition method) (client.PkgExtn method) (client.Repository method) (client.Script method) (client.Shiny method) download_configuration() (ibm_watson_machine_learning.runtimes.Runtimes method) download_library() (ibm_watson_machine_learning.runtimes.Runtimes method) DS (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.DataConnectionTypes attribute) (ibm_watson_machine_learning.utils.autoai.enums.DataConnectionTypes attribute) DT (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute)

E

ELYZA_JAPANESE_LLAMA_2_7B_INSTRUCT (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) ENSEMBLER (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithmsCP4D attribute) EX_TREES (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute) ExogenousDifferenceFlattenEnsembler (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute)

ExogenousFlattenEnsembler (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) ExogenousLocalizedFlattenEnsembler (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) ExogenousMT2RForecaster (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) ExogenousRandomForestRegressor (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) ExogenousSVM (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) ExperimentMetaNames (class in metanames) EXPLAINED_VARIANCE (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) EXPLAINED_VARIANCE_SCORE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) Export (class in client) EXTRACTION (ibm_watson_machine_learning.foundation_models.utils.enums.TuneExperimentTasks attribute)

F

F1 (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) F1_MACRO (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) F1_MICRO (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) F1_SCORE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) F1_SCORE_MACRO (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) F1_SCORE_MICRO (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) F1_SCORE_WEIGHTED (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) F1_WEIGHTED (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) Factsheets (class in client) FactsheetsMetaNames (class in metanames) FAILED (ibm_watson_machine_learning.utils.autoai.enums.RunStateTypes attribute)

FEATUREAGGLOMERATION (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) FIRST_VALUES (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.SamplingTypes attribute) (ibm_watson_machine_learning.utils.autoai.enums.SamplingTypes attribute) FLAN_T5_XL (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) FLAN_T5_XXL (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) FLAN_UL2 (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) FLATTEN_ITERATIVE (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute) FlattenEnsembler (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) FORECASTING (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.PredictionType attribute) (ibm_watson_machine_learning.utils.autoai.enums.PredictionType attribute) Forecasting (ibm_watson_machine_learning.utils.autoai.enums.TimeseriesAnomalyPredictionAlgorithms attribute) ForecastingAlgorithms (class in ibm_watson_machine_learning.utils.autoai.enums) ForecastingAlgorithmsCP4D (class in ibm_watson_machine_learning.utils.autoai.enums) ForecastingPipelineTypes (class in ibm_watson_machine_learning.utils.autoai.enums) from_studio() (ibm_watson_machine_learning.helpers.connections.connections.DataConnection class method) FS (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.DataConnectionTypes attribute) (ibm_watson_machine_learning.utils.autoai.enums.DataConnectionTypes attribute) FunctionMetaNames (class in metanames)

G

GB (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute) generate() (client.Deployments method) (ibm_watson_machine_learning.foundation_models.inference.ModelInference method) (ibm_watson_machine_learning.foundation_models.Model method) generate_text() (client.Deployments method) (ibm_watson_machine_learning.foundation_models.inference.ModelInference method) (ibm_watson_machine_learning.foundation_models.Model method) generate_text_stream() (client.Deployments method) (ibm_watson_machine_learning.foundation_models.inference.ModelInference method) (ibm_watson_machine_learning.foundation_models.Model method) GENERATION (ibm_watson_machine_learning.foundation_models.utils.enums.TuneExperimentTasks attribute) GenTextParamsMetaNames (class in metanames) GenTextReturnOptMetaNames (class in metanames) get() (ibm_watson_machine_learning.deployment.Batch method) (ibm_watson_machine_learning.deployment.WebService method) get_api_key() (client.ServiceInstanceNewPlan method) get_content() (client.Assets method) get_credentials_from_config (class in ibm_watson_machine_learning.helpers.helpers) get_data_connections() (ibm_watson_machine_learning.foundation_models.PromptTuner method) get_datasource_type_uid_by_name() (client.Connections method) get_details() (client.Assets method) (client.Connections method) (client.Deployments method) (client.Export method) (client.HwSpec method) (client.Import method) (client.ModelDefinition method) (client.PkgExtn method) (client.PlatformSpaces method) (client.Repository method) (client.Script method) (client.ServiceInstanceNewPlan method) (client.Shiny method) (client.SwSpec method) (client.Training method) (ibm_watson_machine_learning.foundation_models.inference.ModelInference method) (ibm_watson_machine_learning.foundation_models.Model method) (ibm_watson_machine_learning.runtimes.Runtimes method) (remote_training_system.RemoteTrainingSystem method) get_download_url() (client.Deployments method) get_exogenous() (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes static method) get_experiment_details() (client.Repository method) get_experiment_href() (client.Repository static method) get_experiment_id() (client.Repository static method) get_experiment_revision_details() (client.Repository method) get_experiment_uid() (client.Repository static method) get_exported_content() (client.Export method) get_function_details() (client.Repository method) get_function_href() (client.Repository static method) get_function_id() (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.HwSpec static method) (client.ModelDefinition method) (client.PkgExtn static method) (client.Script static method) (client.Shiny static method) (client.SwSpec static method) (client.Training static method) (ibm_watson_machine_learning.runtimes.Runtimes static method) get_id() (client.Assets static method) (client.Deployments static method) (client.Export static method) (client.HwSpec static method) (client.Import static method) (client.ModelDefinition method) (client.PkgExtn static method) (client.PlatformSpaces static method) (client.Script static method) (client.Shiny static method) (client.SwSpec static method) (client.Training static method) (remote_training_system.RemoteTrainingSystem static method) get_id_by_name() (client.HwSpec method) (client.PkgExtn method) (client.SwSpec method)

get_identifying_params() (ibm_watson_machine_learning.foundation_models.inference.ModelInference method) get_instance_id() (client.ServiceInstanceNewPlan method) get_job_details() (client.Deployments method) get_job_href() (client.Deployments method) get_job_id() (ibm_watson_machine_learning.deployment.Batch method) get_job_params() (ibm_watson_machine_learning.deployment.Batch method) get_job_result() (ibm_watson_machine_learning.deployment.Batch method) get_job_status() (client.Deployments method) (ibm_watson_machine_learning.deployment.Batch method) get_job_uid() (client.Deployments method) get_library_details() (ibm_watson_machine_learning.runtimes.Runtimes method) get_library_href() (ibm_watson_machine_learning.runtimes.Runtimes static method) get_library_uid() (ibm_watson_machine_learning.runtimes.Runtimes static method) get_location() (ibm_watson_machine_learning.helpers.connections.connections.S3Location method) get_lock() (ibm_watson_machine_learning.foundation_models.prompts.PromptTemplateManager method) get_member_details() (client.PlatformSpaces method) get_member_href() (client.Repository static method) get_member_uid() (client.Repository static method) get_members_details() (client.Repository method) get_metrics() (client.Training method) get_model_details() (client.Repository method) get_model_href() (client.Repository static method) get_model_id() (client.Repository static method) (ibm_watson_machine_learning.foundation_models.PromptTuner method) get_model_lifecycle() (in module ibm_watson_machine_learning.foundation_models) get_model_revision_details() (client.Repository method) get_model_specs() (in module ibm_watson_machine_learning.foundation_models) get_model_specs_with_prompt_tuning_support() (in module ibm_watson_machine_learning.foundation_models) get_model_uid() (client.Repository static method) get_non_exogenous() (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes static method) get_params() (ibm_watson_machine_learning.deployment.Batch method) (ibm_watson_machine_learning.deployment.WebService method) (ibm_watson_machine_learning.foundation_models.PromptTuner method) get_password() (client.ServiceInstanceNewPlan method) get_pipeline_details() (client.Repository method) get_pipeline_href() (client.Repository static method) get_pipeline_id() (client.Repository static method) get_pipeline_revision_details() (client.Repository method) get_pipeline_uid() (client.Repository static method) get_revision_details() (client.ModelDefinition method) (client.Script method) (client.Shiny method) (remote_training_system.RemoteTrainingSystem method) get_round() (party_wrapper.Party method) get_run_details() (ibm_watson_machine_learning.experiment.fm_tune.TuneRuns method) (ibm_watson_machine_learning.foundation_models.PromptTuner method) get_run_status() (ibm_watson_machine_learning.foundation_models.PromptTuner method) get_scoring_href() (client.Deployments static method) get_serving_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_supported_tasks() (in module ibm_watson_machine_learning.foundation_models) get_tuner() (ibm_watson_machine_learning.experiment.fm_tune.TuneRuns method) get_uid() (client.Assets static method) (client.Connections static method) (client.Deployments static method) (client.HwSpec static method) (client.ModelDefinition method) (client.PkgExtn static method) (client.PlatformSpaces static method) (client.Script static method) (client.Shiny static method) (client.SwSpec static method) (client.Training static method) (ibm_watson_machine_learning.runtimes.Runtimes static method) get_uid_by_name() (client.HwSpec method) (client.PkgExtn method) (client.SwSpec method) get_url() (client.ServiceInstanceNewPlan method) get_username() (client.ServiceInstanceNewPlan method) GPT_NEOX (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) GRANITE_13B_CHAT (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) GRANITE_13B_CHAT_V2 (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) GRANITE_13B_INSTRUCT (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) GRANITE_13B_INSTRUCT_V2 (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) GRANITE_20B_MULTILINGUAL (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) GREEDY (ibm_watson_machine_learning.foundation_models.utils.enums.DecodingMethods attribute)

H

HoltWinterAdditive (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) HoltWinterMultiplicative (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) HW (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithmsCP4D attribute)

HwSpec (class in client) HwSpecMetaNames (class in metanames)

I

ibm_watson_machine_learning.utils.autoai.enums module Import (class in client) ImputationStrategy (class in ibm_watson_machine_learning.utils.autoai.enums)

INPLACE (ibm_watson_machine_learning.utils.autoai.enums.VisualizationTypes attribute) is_running() (party_wrapper.Party method) is_serving_name_available() (client.Deployments method) ISOFORESTANOMALY (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute)

L

L (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.TShirtSize attribute) (ibm_watson_machine_learning.utils.autoai.enums.TShirtSize attribute) LALE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.PipelineTypes attribute) (ibm_watson_machine_learning.utils.autoai.enums.PipelineTypes attribute) LANGCHAIN (ibm_watson_machine_learning.foundation_models.utils.enums.PromptTemplateFormats attribute) LAST_VALUES (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.SamplingTypes attribute) (ibm_watson_machine_learning.utils.autoai.enums.SamplingTypes attribute) LGBM (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute) LINEAR (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute) list() (client.Assets method) (client.Connections method) (client.Deployments method) (client.Export method) (client.HwSpec method) (client.Import method) (client.ModelDefinition method) (client.PkgExtn method) (client.PlatformSpaces method) (client.Repository method) (client.Script method) (client.Shiny method) (client.SwSpec method) (client.Training method) (ibm_watson_machine_learning.deployment.Batch method) (ibm_watson_machine_learning.deployment.WebService method) (ibm_watson_machine_learning.experiment.fm_tune.TuneRuns method) (ibm_watson_machine_learning.foundation_models.prompts.PromptTemplateManager method) (ibm_watson_machine_learning.runtimes.Runtimes method) (remote_training_system.RemoteTrainingSystem method) list_datasource_types() (client.Connections 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) (ibm_watson_machine_learning.deployment.Batch method) list_libraries() (ibm_watson_machine_learning.runtimes.Runtimes method) list_members() (client.PlatformSpaces method) (client.Repository method) list_model_entries() (client.Factsheets 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.ModelDefinition method) (client.Script method) (client.Shiny method) (remote_training_system.RemoteTrainingSystem method) list_spaces() (client.Repository method) list_subtrainings() (client.Training method) list_uploaded_db_drivers() (client.Connections method) LLAMA_2_13B_CHAT (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) LLAMA_2_70B_CHAT (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) load() (client.Repository method) load_prompt() (ibm_watson_machine_learning.foundation_models.prompts.PromptTemplateManager method) LocalizedFlattenEnsembler (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) lock() (ibm_watson_machine_learning.foundation_models.prompts.PromptTemplateManager method) LOG (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) LOG_LOSS (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) LR (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute)

M

M (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.TShirtSize attribute) (ibm_watson_machine_learning.utils.autoai.enums.TShirtSize attribute) MAX (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) MEAN (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute) MEAN_ABSOLUTE_ERROR (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) MEAN_SQUARED_ERROR (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) MEAN_SQUARED_LOG_ERROR (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) MEDIAN (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute) MEDIAN_ABSOLUTE_ERROR (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) MemberMetaNames (client.PlatformSpaces attribute) MEMBERS_OF_DEPLOYMENT_SPACE (ibm_watson_machine_learning.utils.enums.RShinyAuthenticationValues attribute) Metrics (class in ibm_watson_machine_learning.utils.autoai.enums) MetricsToDirections (class in ibm_watson_machine_learning.utils.autoai.enums) MINMAXSCALER (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute)

MIXTRAL_8X7B_INSTRUCT_V01_Q (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) Model (class in ibm_watson_machine_learning.foundation_models) ModelDefinition (class in client) ModelDefinitionMetaNames (class in metanames) ModelInference (class in ibm_watson_machine_learning.foundation_models.inference) ModelMetaNames (class in metanames) ModelTypes (class in ibm_watson_machine_learning.foundation_models.utils.enums) module ibm_watson_machine_learning.utils.autoai.enums monitor_logs() (client.Training method) (party_wrapper.Party method) monitor_metrics() (client.Training method) (party_wrapper.Party method) MOST_FREQUENT (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute) MPT_7B_INSTRUCT2 (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) MT0_XXL (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) MT2RForecaster (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) MULTICLASS (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.PredictionType attribute) (ibm_watson_machine_learning.utils.autoai.enums.PredictionType attribute)

N

NEG_LOG_LOSS (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) NEG_MEAN_ABSOLUTE_ERROR (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) NEG_MEAN_SQUARED_ERROR (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) NEG_MEAN_SQUARED_LOG_ERROR (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) NEG_MEDIAN_ABSOLUTE_ERROR (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) NEG_ROOT_MEAN_SQUARED_ERROR (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute)

NEG_ROOT_MEAN_SQUARED_LOG_ERROR (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) NEXT (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute) NO_IMPUTATION (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute) NORMALIZED_GINI_COEFFICIENT (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) NXOR (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute)

O

optimizer() (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI method)

P

Party (class in party_wrapper) PCA (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) PDF (ibm_watson_machine_learning.utils.autoai.enums.VisualizationTypes attribute) PipelineMetanames (class in metanames) PipelineTypes (class in ibm_watson_machine_learning.utils.autoai.enums) PkgExtn (class in client) PkgExtnMetaNames (class in metanames) PlatformSpaces (class in client) plot_learning_curve() (ibm_watson_machine_learning.foundation_models.PromptTuner method) PointwiseBoundedBATS (ibm_watson_machine_learning.utils.autoai.enums.TimeseriesAnomalyPredictionPipelineTypes attribute) PointwiseBoundedBATSForceUpdate (ibm_watson_machine_learning.utils.autoai.enums.TimeseriesAnomalyPredictionPipelineTypes attribute) PointwiseBoundedHoltWintersAdditive (ibm_watson_machine_learning.utils.autoai.enums.TimeseriesAnomalyPredictionPipelineTypes attribute) PositiveLabelClass (class in ibm_watson_machine_learning.utils.autoai.enums) PRECISION (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) PRECISION_MACRO (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) PRECISION_MICRO (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) PRECISION_SCORE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) PRECISION_SCORE_MACRO (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute)

PRECISION_SCORE_MICRO (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) PRECISION_SCORE_WEIGHTED (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) PRECISION_WEIGHTED (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) PredictionType (class in ibm_watson_machine_learning.utils.autoai.enums) PREVIOUS (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute) PRODUCT (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) promote() (client.PlatformSpaces method) promote_model() (client.Repository method) prompt_tuner() (ibm_watson_machine_learning.experiment.fm_tune.TuneExperiment method) PROMPTTEMPLATE (ibm_watson_machine_learning.foundation_models.utils.enums.PromptTemplateFormats attribute) PromptTemplateFormats (class in ibm_watson_machine_learning.foundation_models.utils.enums) PromptTemplateManager (class in ibm_watson_machine_learning.foundation_models.prompts) PromptTuner (class in ibm_watson_machine_learning.foundation_models) PromptTuningInitMethods (class in ibm_watson_machine_learning.foundation_models.utils.enums) PromptTuningTypes (class in ibm_watson_machine_learning.foundation_models.utils.enums) PT (ibm_watson_machine_learning.foundation_models.utils.enums.PromptTuningTypes attribute)

Q

QUESTION_ANSWERING (ibm_watson_machine_learning.foundation_models.utils.enums.TuneExperimentTasks attribute)

R

R2 (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) R2_AND_DISPARATE_IMPACT_SCORE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) R2_SCORE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) RANDOM (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.SamplingTypes attribute) (ibm_watson_machine_learning.foundation_models.utils.enums.PromptTuningInitMethods attribute) (ibm_watson_machine_learning.utils.autoai.enums.SamplingTypes attribute) RandomForestRegressor (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) read() (ibm_watson_machine_learning.helpers.connections.connections.DataConnection method) RECALL (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) RECALL_MACRO (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) RECALL_MICRO (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) RECALL_SCORE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) RECALL_SCORE_MACRO (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) RECALL_SCORE_MICRO (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) RECALL_SCORE_WEIGHTED (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.PositiveLabelClass attribute) RECALL_WEIGHTED (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) register_model_entry() (client.Factsheets method) REGRESSION (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.PredictionType attribute) (ibm_watson_machine_learning.utils.autoai.enums.PredictionType attribute) RegressionAlgorithms (class in ibm_watson_machine_learning.utils.autoai.enums) RegressionAlgorithmsCP4D (class in ibm_watson_machine_learning.utils.autoai.enums) Relationship (ibm_watson_machine_learning.utils.autoai.enums.TimeseriesAnomalyPredictionAlgorithms attribute) RemoteTrainingSystem (class in remote_training_system) Repository (class in client)

Repository.ModelAssetTypes (class in client) rerun_job() (ibm_watson_machine_learning.deployment.Batch method) RETRIEVAL_AUGMENTED_GENERATION (ibm_watson_machine_learning.foundation_models.utils.enums.TuneExperimentTasks attribute) RF (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute) RIDGE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute) ROC_AUC (ibm_watson_machine_learning.utils.autoai.enums.MetricsToDirections attribute) ROC_AUC_SCORE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) ROOT_MEAN_SQUARED_ERROR (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) ROOT_MEAN_SQUARED_LOG_ERROR (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Metrics attribute) (ibm_watson_machine_learning.utils.autoai.enums.Metrics attribute) ROUND (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) RShinyAuthenticationValues (class in ibm_watson_machine_learning.utils.enums) run() (client.Training method) (ibm_watson_machine_learning.foundation_models.PromptTuner method) (party_wrapper.Party method) run_job() (ibm_watson_machine_learning.deployment.Batch method) runs() (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI method) (ibm_watson_machine_learning.experiment.fm_tune.TuneExperiment method) RunStateTypes (class in ibm_watson_machine_learning.utils.autoai.enums) RuntimeMetaNames (class in metanames) Runtimes (class in ibm_watson_machine_learning.runtimes)

S

S (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.TShirtSize attribute) (ibm_watson_machine_learning.utils.autoai.enums.TShirtSize attribute) S3 (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.DataConnectionTypes attribute) (ibm_watson_machine_learning.utils.autoai.enums.DataConnectionTypes attribute) S3Location (class in ibm_watson_machine_learning.helpers.connections.connections) SAMPLE (ibm_watson_machine_learning.foundation_models.utils.enums.DecodingMethods attribute) SamplingTypes (class in ibm_watson_machine_learning.utils.autoai.enums) score() (client.Deployments method) (ibm_watson_machine_learning.deployment.Batch method) (ibm_watson_machine_learning.deployment.WebService method) ScoringMetaNames (class in metanames) Script (class in client) ScriptMetaNames (class in metanames) ServiceInstanceNewPlan (class in client) Set (class in client) set_client() (ibm_watson_machine_learning.helpers.connections.connections.DataConnection method) Shiny (class in client) SIGMOID (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) sign_db_driver_url() (client.Connections method) SIN (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) SKLEARN (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.PipelineTypes attribute) (ibm_watson_machine_learning.utils.autoai.enums.PipelineTypes attribute) SnapBM (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute) SnapDT (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute) SnapLR (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) SnapRF (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute)

SnapSVM (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) SpacesPlatformMemberMetaNames (class in metanames) SpacesPlatformMetaNames (class in metanames) SQRT (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) SQUARE (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) STARCODER (ibm_watson_machine_learning.foundation_models.utils.enums.ModelTypes attribute) start() (client.Export method) (client.Import method) STDSCALER (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) store() (client.Assets method) (client.HwSpec method) (client.ModelDefinition method) (client.PkgExtn method) (client.PlatformSpaces method) (client.Script method) (client.Shiny method) (client.SwSpec method) (ibm_watson_machine_learning.runtimes.Runtimes method) (remote_training_system.RemoteTrainingSystem method) store_experiment() (client.Repository method) store_function() (client.Repository method) store_library() (ibm_watson_machine_learning.runtimes.Runtimes method) store_model() (client.Repository method) store_pipeline() (client.Repository method) store_prompt() (ibm_watson_machine_learning.foundation_models.prompts.PromptTemplateManager method) store_space() (client.Repository method) STRATIFIED (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.SamplingTypes attribute) (ibm_watson_machine_learning.utils.autoai.enums.SamplingTypes attribute) STRING (ibm_watson_machine_learning.foundation_models.utils.enums.PromptTemplateFormats attribute) SUM (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) SUMMARIZATION (ibm_watson_machine_learning.foundation_models.utils.enums.TuneExperimentTasks attribute) summary() (ibm_watson_machine_learning.foundation_models.PromptTuner method) SVM (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.ForecastingPipelineTypes attribute) SwSpec (class in client) SwSpecMetaNames (class in metanames)

T

TAN (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.Transformers attribute) (ibm_watson_machine_learning.utils.autoai.enums.Transformers attribute) TEXT (ibm_watson_machine_learning.foundation_models.utils.enums.PromptTuningInitMethods attribute) TIMESERIES_ANOMALY_PREDICTION (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.PredictionType attribute) (ibm_watson_machine_learning.utils.autoai.enums.PredictionType attribute) TimeseriesAnomalyPredictionAlgorithms (class in ibm_watson_machine_learning.utils.autoai.enums) TimeseriesAnomalyPredictionPipelineTypes (class in ibm_watson_machine_learning.utils.autoai.enums) to_langchain() (ibm_watson_machine_learning.foundation_models.inference.ModelInference method) (ibm_watson_machine_learning.foundation_models.Model method)

tokenize() (ibm_watson_machine_learning.foundation_models.inference.ModelInference method) (ibm_watson_machine_learning.foundation_models.Model method) Training (class in client) TrainingConfigurationMetaNames (class in metanames) Transformers (class in ibm_watson_machine_learning.utils.autoai.enums) TShirtSize (class in ibm_watson_machine_learning.utils.autoai.enums) TuneExperiment (class in ibm_watson_machine_learning.experiment.fm_tune) TuneExperimentTasks (class in ibm_watson_machine_learning.foundation_models.utils.enums) TuneRuns (class in ibm_watson_machine_learning.experiment.fm_tune)

U

unlock() (ibm_watson_machine_learning.foundation_models.prompts.PromptTemplateManager method) unregister_model_entry() (client.Factsheets method) update() (client.Deployments method) (client.ModelDefinition method) (client.PlatformSpaces method) (client.Script method) (client.Shiny method) (remote_training_system.RemoteTrainingSystem method) update_experiment() (client.Repository method)

update_function() (client.Repository method) update_library() (ibm_watson_machine_learning.runtimes.Runtimes method) update_member() (client.PlatformSpaces method) update_model() (client.Repository method) update_pipeline() (client.Repository method) update_prompt() (ibm_watson_machine_learning.foundation_models.prompts.PromptTemplateManager method) update_runtime() (ibm_watson_machine_learning.runtimes.Runtimes method) update_space() (client.Repository method) upload_db_driver() (client.Connections method)

V

VALUE (ibm_watson_machine_learning.utils.autoai.enums.ImputationStrategy attribute)

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

W

WatsonxLLM (class in ibm_watson_machine_learning.foundation_models.extensions.langchain) WebService (class in ibm_watson_machine_learning.deployment) Window (ibm_watson_machine_learning.utils.autoai.enums.TimeseriesAnomalyPredictionAlgorithms attribute)

WindowLOF (ibm_watson_machine_learning.utils.autoai.enums.TimeseriesAnomalyPredictionPipelineTypes attribute) WindowNN (ibm_watson_machine_learning.utils.autoai.enums.TimeseriesAnomalyPredictionPipelineTypes attribute) WindowPCA (ibm_watson_machine_learning.utils.autoai.enums.TimeseriesAnomalyPredictionPipelineTypes attribute) write() (ibm_watson_machine_learning.helpers.connections.connections.DataConnection method)

X

XGB (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.ClassificationAlgorithmsCP4D attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithms attribute) (ibm_watson_machine_learning.utils.autoai.enums.RegressionAlgorithmsCP4D attribute)

XL (ibm_watson_machine_learning.experiment.autoai.autoai.AutoAI.TShirtSize attribute) (ibm_watson_machine_learning.utils.autoai.enums.TShirtSize attribute)