Package org.jpmml.sparkml.model
Class LinearModelUtil
java.lang.Object
org.jpmml.sparkml.model.LinearModelUtil
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic <C extends org.jpmml.sparkml.ModelConverter<?> & HasRegressionTableOptions>
org.dmg.pmml.ModelcreateBinaryLogisticClassification(C converter, org.apache.spark.ml.linalg.Vector coefficients, double intercept, org.jpmml.converter.Schema schema) static <C extends org.jpmml.sparkml.ModelConverter<?> & HasRegressionTableOptions>
org.dmg.pmml.ModelcreateRegression(C converter, org.apache.spark.ml.linalg.Vector coefficients, double intercept, org.jpmml.converter.Schema schema) static <C extends org.jpmml.sparkml.ModelConverter<?> & HasRegressionTableOptions>
org.dmg.pmml.ModelcreateSoftmaxClassification(C converter, org.apache.spark.ml.linalg.Matrix coefficients, org.apache.spark.ml.linalg.Vector intercepts, org.jpmml.converter.Schema schema)
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Constructor Details
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LinearModelUtil
public LinearModelUtil()
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Method Details
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createRegression
public static <C extends org.jpmml.sparkml.ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.Model createRegression(C converter, org.apache.spark.ml.linalg.Vector coefficients, double intercept, org.jpmml.converter.Schema schema) -
createBinaryLogisticClassification
public static <C extends org.jpmml.sparkml.ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.Model createBinaryLogisticClassification(C converter, org.apache.spark.ml.linalg.Vector coefficients, double intercept, org.jpmml.converter.Schema schema) -
createSoftmaxClassification
public static <C extends org.jpmml.sparkml.ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.Model createSoftmaxClassification(C converter, org.apache.spark.ml.linalg.Matrix coefficients, org.apache.spark.ml.linalg.Vector intercepts, org.jpmml.converter.Schema schema)
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