Overview Use Cases Connectors Authentication Getting Started with the Python SDK API Reference ai_agents ai_chat algorithm annotations application_connectors batch_prediction code_completion custom_loss_function custom_metric database_connectors dataset deployment deployment_conversations docstore document_retrievers documentation eda external_app feature_drift feature_group feature_group_row_process feature_group_template file_connectors graph_dashboard holdout_analysis llm_apps model createModelFromPython createTrainTestDataSplitFeatureGroup deleteModel deleteModelVersion describeModel describeModelArtifactsExport describeModelVersion describeTrainTestDataSplitFeatureGroup describeTrainTestDataSplitFeatureGroupVersion exportCustomModelVersion exportModelArtifactAsFeatureGroup getCustomTrainFunctionInfo getFeatureGroupSchemasForModelVersion getFeatureImportanceByModelVersion getModelMetrics getTrainingConfigOptions getTrainingDataLogs getTrainingLogs listModelArtifactsExports listModelVersions listModels renameModel retrainModel setDefaultModelAlgorithm setModelObjective setModelPredictionParams setModelTrainingConfig trainModel updatePythonModel updatePythonModelGit updatePythonModelZip model_monitoring module natural_language_explanation organization pipelines predict prediction_operator project python_function refresh secrets streaming streaming_connectors upload webhooks API Classes API Inputs Documentation Chat Bot API Search Video Tutorials ChatLLM

Method

getFeatureImportanceByModelVersion GET

Copy GET

Gets the feature importance calculated by various methods for the model.

Arguments:

REQUIRED	KEY	TYPE	DESCRIPTION
Yes	modelVersion	str	Unique string identifier for the model version.

Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.

Response:

KEY

TYPE

DESCRIPTION

success

Boolean

true if the call succeeded, false if there was an error

result

FeatureImportance

KEY	TYPE	Description
shapFeatureImportance	dict	A map of feature name to feature importance, determined by Shap values on a sample dataset.
limeFeatureImportance	dict	A map of feature name to feature importance, determined by Lime contribution values on a sample dataset.
permutationFeatureImportance	dict	A map of feature name to feature importance, determined by permutation importance.
nullFeatureImportance	dict	A map of feature name to feature importance, determined by null feature importance.
lofoFeatureImportance	dict	A map of feature name to feature importance, determined by the Leave One Feature Out method.
ebmFeatureImportance	dict	A map of feature name to feature importance, determined by an Explainable Boosting Machine.

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