## 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
    --- | ---
    `SVMLinearClassificationModel` | SVMLinearClassificationModel.SVMLinearClassificationJSONExportModel.`convert()` Convert JSON string to IgniteModel object.
    `<K,V> SVMLinearClassificationModel` | SVMLinearClassificationTrainer.`fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor)` Trains model based on the specified data.
    `static SVMLinearClassificationModel` | SVMLinearClassificationModel.`fromJSON(Path path)` Loads SVMLinearClassificationModel from JSON file.
    `protected <K,V> SVMLinearClassificationModel` | SVMLinearClassificationTrainer.`updateModel(SVMLinearClassificationModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor)` Gets state of model in arguments, update in according to new data and return new model.
    `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)` Gets state of model in arguments, update in according to new data and return new model.

    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.

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Release Date | : January 10 2022