classification

Type Members

1. abstract class ClassificationModel[FeaturesType, M <: ClassificationModel[FeaturesType, M]] extends PredictionModel[FeaturesType, M] with ClassifierParams

   :: DeveloperApi ::

2. abstract class Classifier[FeaturesType, E <: Classifier[FeaturesType, E, M], M <: ClassificationModel[FeaturesType, M]] extends Predictor[FeaturesType, E, M] with ClassifierParams

   :: DeveloperApi ::

3. final class DecisionTreeClassificationModel extends PredictionModel[Vector, DecisionTreeClassificationModel] with DecisionTreeModel with Serializable

   :: Experimental :: Decision tree model for classification.

4. final class DecisionTreeClassifier extends Predictor[Vector, DecisionTreeClassifier, DecisionTreeClassificationModel] with DecisionTreeParams with TreeClassifierParams

   :: Experimental :: Decision tree learning algorithm for classification.

5. final class GBTClassificationModel extends PredictionModel[Vector, GBTClassificationModel] with TreeEnsembleModel with Serializable

   :: Experimental :: Gradient-Boosted Trees (GBTs) model for classification.

6. final class GBTClassifier extends Predictor[Vector, GBTClassifier, GBTClassificationModel] with GBTParams with TreeClassifierParams with Logging

   :: Experimental :: Gradient-Boosted Trees (GBTs) learning algorithm for classification.

7. class LogisticRegression extends ProbabilisticClassifier[Vector, LogisticRegression, LogisticRegressionModel] with LogisticRegressionParams with Logging

   :: Experimental :: Logistic regression.

8. class LogisticRegressionModel extends ProbabilisticClassificationModel[Vector, LogisticRegressionModel] with LogisticRegressionParams

   :: Experimental :: Model produced by LogisticRegression.

9. final class OneVsRest extends Estimator[OneVsRestModel] with OneVsRestParams

   :: Experimental ::

10. final class OneVsRestModel extends Model[OneVsRestModel] with OneVsRestParams

    :: Experimental :: Model produced by OneVsRest.

11. final class RandomForestClassificationModel extends PredictionModel[Vector, RandomForestClassificationModel] with TreeEnsembleModel with Serializable

    :: Experimental :: Random Forest model for classification.

12. final class RandomForestClassifier extends Predictor[Vector, RandomForestClassifier, RandomForestClassificationModel] with RandomForestParams with TreeClassifierParams

    :: Experimental :: Random Forest learning algorithm for classification.