Uses of Class
org.apache.ignite.ml.svm.SVMLinearClassificationModel

Packages that use SVMLinearClassificationModel

Package	Description
org.apache.ignite.ml.svm	Contains main APIs for SVM(support vector machines) algorithms.

Uses of SVMLinearClassificationModel in org.apache.ignite.ml.svm

Methods in org.apache.ignite.ml.svm that return SVMLinearClassificationModel

Modifier and Type	Method and Description
<K,V> SVMLinearClassificationModel	SVMLinearClassificationTrainer.fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor) Trains model based on the specified data.
protected <K,V> SVMLinearClassificationModel	SVMLinearClassificationTrainer.updateModel(SVMLinearClassificationModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor) Trains new model taken previous one as a first approximation.
SVMLinearClassificationModel	SVMLinearClassificationModel.withIntercept(double intercept) Set up the intercept.
SVMLinearClassificationModel	SVMLinearClassificationModel.withRawLabels(boolean isKeepingRawLabels) Set up the output label format.
SVMLinearClassificationModel	SVMLinearClassificationModel.withThreshold(double threshold) Set up the threshold.
SVMLinearClassificationModel	SVMLinearClassificationModel.withWeights(Vector weights) Set up the weights.

Methods in org.apache.ignite.ml.svm with parameters of type SVMLinearClassificationModel

Modifier and Type	Method and Description
boolean	SVMLinearClassificationTrainer.isUpdateable(SVMLinearClassificationModel mdl)
protected <K,V> SVMLinearClassificationModel	SVMLinearClassificationTrainer.updateModel(SVMLinearClassificationModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor) Trains new model taken previous one as a first approximation.

Method parameters in org.apache.ignite.ml.svm with type arguments of type SVMLinearClassificationModel

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