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PredictiveModelingBatchPredictionArgs

Batch Prediction Config for the PREDICTIVE_MODELING problem type

KEY	TYPE	Description
explainerType	enums.ExplainerType	The type of explainer to use to generate explanations on the batch prediction.
importanceOfRecordsInNestedColumns	str	Returns importance of each index in the specified nested column instead of SHAP column explanations.
explanationFilterLabel	str	For classification problems specifies the label to which the explanation bounds are applied.
featuresConsideredConstantForExplanations	str	Comma separate list of fields to treat as constant in SHAP explanations.
explanationFilterUpperBound	float	If set explanations will be limited to predictions below this value, Range: [0, 1].
explanationFilterLowerBound	float	If set explanations will be limited to predictions above this value, Range: [0, 1].
numberOfSamplesToUseForExplainer	int	Number Of Samples To Use For Kernel Explainer.
explainPredictions	bool	If True, calculates explanations for the predicted values along with predictions.
createMonitor	bool	Controls whether to automatically create a monitor to calculate the drift each time the batch prediction is run. Defaults to true if not specified.
includeMultiClassExplanations	bool	If True, Includes explanations for all classes in multi-class classification.
outputColumns	list	A list of column names to include in the prediction result.
forEval	bool	If True, the test fold which was created during training and used for metrics calculation will be used as input data. These predictions are hence, used for model evaluation.