static <C extends ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.regression.RegressionModel |
LinearModelUtil.createBinaryLogisticClassification(C converter,
org.apache.spark.ml.linalg.Vector coefficients,
double intercept,
org.jpmml.converter.Schema schema) |
static <C extends ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.regression.RegressionModel |
LinearModelUtil.createRegression(C converter,
org.apache.spark.ml.linalg.Vector coefficients,
double intercept,
org.jpmml.converter.Schema schema) |
static <C extends ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.regression.RegressionModel |
LinearModelUtil.createSoftmaxClassification(C converter,
org.apache.spark.ml.linalg.Matrix coefficients,
org.apache.spark.ml.linalg.Vector intercepts,
org.jpmml.converter.Schema schema) |
static <C extends ModelConverter<?> & HasRegressionTableOptions> void |
RegressionTableUtil.simplify(C converter,
Object identifier,
List<org.jpmml.converter.Feature> features,
List<Double> coefficients) |