FillMissingValues

Specifies a transform that locates records in the dataset that have missing values and adds a new field with a value determined by imputation. The input data set is used to train the machine learning model that determines what the missing value should be.

Types

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class Builder
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object Companion

Properties

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A JSON path to a variable in the data structure for the dataset that is filled.

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A JSON path to a variable in the data structure for the dataset that is imputed.

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The data inputs identified by their node names.

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The name of the transform node.

Functions

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inline fun copy(block: FillMissingValues.Builder.() -> Unit = {}): FillMissingValues
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open operator override fun equals(other: Any?): Boolean
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open override fun hashCode(): Int
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open override fun toString(): String