Type Members

1.  final class OneVsRest extends Estimator[OneVsRestModel] with OneVsRestParams with MLWritable

   Reduction of Multiclass Classification to Binary Classification.

   Reduction of Multiclass Classification to Binary Classification. Performs reduction using one against all strategy. For a multiclass classification with k classes, train k models (one per class). Each example is scored against all k models and the model with highest score is picked to label the example.

   Annotations

   @SparkCode() @Since( "1.4.0" )

2.  final class OneVsRestModel extends Model[OneVsRestModel] with OneVsRestParams with MLWritable

   Model produced by OneVsRest.

   Model produced by OneVsRest. This stores the models resulting from training k binary classifiers: one for each class. Each example is scored against all k models, and the model with the highest score is picked to label the example.

   Annotations

   @SparkCode() @Since( "1.4.0" )

3.  class SVM extends ProbabilisticClassifier[Vector, SVM, SVMModel] with SVMBase
4.  trait SVMBase extends Params

   Created by hollinwilkins on 4/14/16.

5.  class SVMModel extends ProbabilisticClassificationModel[Vector, SVMModel] with SVMBase
6.  class SVMWithSGD extends GeneralizedLinearAlgorithm[mllib.classification.SVMModel] with Serializable

   Annotations

   @SparkCode()