Uses of Class
org.apache.ignite.ml.regressions.logistic.multiclass.LogRegressionMultiClassModel

Packages that use LogRegressionMultiClassModel

Package	Description
org.apache.ignite.ml.regressions.logistic.multiclass	Contains multi-class logistic regression.

Uses of LogRegressionMultiClassModel in org.apache.ignite.ml.regressions.logistic.multiclass

Methods in org.apache.ignite.ml.regressions.logistic.multiclass that return LogRegressionMultiClassModel

Modifier and Type	Method and Description
<K,V> LogRegressionMultiClassModel	LogRegressionMultiClassTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> LogRegressionMultiClassModel	LogRegressionMultiClassTrainer.updateModel(LogRegressionMultiClassModel newMdl, DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Gets state of model in arguments, update in according to new data and return new model.

Methods in org.apache.ignite.ml.regressions.logistic.multiclass with parameters of type LogRegressionMultiClassModel

Modifier and Type	Method and Description
protected boolean	LogRegressionMultiClassTrainer.checkState(LogRegressionMultiClassModel mdl)
<K,V> LogRegressionMultiClassModel	LogRegressionMultiClassTrainer.updateModel(LogRegressionMultiClassModel newMdl, DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Gets state of model in arguments, update in according to new data and return new model.

Method parameters in org.apache.ignite.ml.regressions.logistic.multiclass with type arguments of type LogRegressionMultiClassModel

Modifier and Type	Method and Description
<P> void	LogRegressionMultiClassModel.saveModel(Exporter<LogRegressionMultiClassModel,P> exporter, P path) Save model by the given path.