PredictiveModelingBatchPredictionArgs

Batch Prediction Config for the PREDICTIVE_MODELING problem type

KEY TYPE Description
numberOfSamplesToUseForExplainer int Number Of Samples To Use For Kernel Explainer.
includeMultiClassExplanations bool If True, Includes explanations for all classes in multi-class classification.
explanationFilterUpperBound float If set explanations will be limited to predictions below this value, Range: [0, 1].
explainerType enums.ExplainerType The type of explainer to use to generate explanations on the batch prediction.
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.
explainPredictions bool If True, calculates explanations for the predicted values along with predictions.
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.
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.
importanceOfRecordsInNestedColumns str Returns importance of each index in the specified nested column instead of SHAP column explanations.
explanationFilterLowerBound float If set explanations will be limited to predictions above this value, Range: [0, 1].
outputColumns list A list of column names to include in the prediction result.
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