protected static org.dmg.pmml.mining.MiningModel |
ObjFunction.createMiningModel(java.util.List<RegTree> trees,
java.util.List<java.lang.Float> weights,
float base_score,
java.lang.Integer ntreeLimit,
org.jpmml.converter.Schema schema) |
org.dmg.pmml.mining.MiningModel |
LogisticRegression.encodeMiningModel(java.util.List<RegTree> trees,
java.util.List<java.lang.Float> weights,
float base_score,
java.lang.Integer ntreeLimit,
org.jpmml.converter.Schema schema) |
abstract org.dmg.pmml.mining.MiningModel |
ObjFunction.encodeMiningModel(java.util.List<RegTree> trees,
java.util.List<java.lang.Float> weights,
float base_score,
java.lang.Integer ntreeLimit,
org.jpmml.converter.Schema schema) |
org.dmg.pmml.mining.MiningModel |
BinomialLogisticRegression.encodeMiningModel(java.util.List<RegTree> trees,
java.util.List<java.lang.Float> weights,
float base_score,
java.lang.Integer ntreeLimit,
org.jpmml.converter.Schema schema) |
org.dmg.pmml.mining.MiningModel |
MultinomialLogisticRegression.encodeMiningModel(java.util.List<RegTree> trees,
java.util.List<java.lang.Float> weights,
float base_score,
java.lang.Integer ntreeLimit,
org.jpmml.converter.Schema schema) |
org.dmg.pmml.mining.MiningModel |
LinearRegression.encodeMiningModel(java.util.List<RegTree> trees,
java.util.List<java.lang.Float> weights,
float base_score,
java.lang.Integer ntreeLimit,
org.jpmml.converter.Schema schema) |
org.dmg.pmml.mining.MiningModel |
LambdaMART.encodeMiningModel(java.util.List<RegTree> trees,
java.util.List<java.lang.Float> weights,
float base_score,
java.lang.Integer ntreeLimit,
org.jpmml.converter.Schema schema) |
org.dmg.pmml.mining.MiningModel |
GeneralizedLinearRegression.encodeMiningModel(java.util.List<RegTree> trees,
java.util.List<java.lang.Float> weights,
float base_score,
java.lang.Integer ntreeLimit,
org.jpmml.converter.Schema schema) |