public class LinearModelUtil extends Object
| Constructor and Description |
|---|
LinearModelUtil() |
| Modifier and Type | Method and Description |
|---|---|
static <C extends ModelConverter<?> & HasRegressionTableOptions> |
createBinaryLogisticClassification(C converter,
org.apache.spark.ml.linalg.Vector coefficients,
double intercept,
org.jpmml.converter.Schema schema) |
static <C extends ModelConverter<?> & HasRegressionTableOptions> |
createRegression(C converter,
org.apache.spark.ml.linalg.Vector coefficients,
double intercept,
org.jpmml.converter.Schema schema) |
static <C extends ModelConverter<?> & HasRegressionTableOptions> |
createSoftmaxClassification(C converter,
org.apache.spark.ml.linalg.Matrix coefficients,
org.apache.spark.ml.linalg.Vector intercepts,
org.jpmml.converter.Schema schema) |
public static <C extends ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.Model createRegression(C converter, org.apache.spark.ml.linalg.Vector coefficients, double intercept, org.jpmml.converter.Schema schema)
public static <C extends ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.Model createBinaryLogisticClassification(C converter, org.apache.spark.ml.linalg.Vector coefficients, double intercept, org.jpmml.converter.Schema schema)
public static <C extends 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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