Class RandomForestClassificationModel

All Implemented Interfaces:
Serializable, org.apache.spark.internal.Logging, ClassifierParams, ProbabilisticClassifierParams, Params, HasCheckpointInterval, HasFeaturesCol, HasLabelCol, HasPredictionCol, HasProbabilityCol, HasRawPredictionCol, HasSeed, HasThresholds, HasWeightCol, PredictorParams, DecisionTreeParams, RandomForestClassifierParams, RandomForestParams, TreeClassifierParams, TreeEnsembleClassifierParams, TreeEnsembleModel<DecisionTreeClassificationModel>, TreeEnsembleParams, HasTrainingSummary<RandomForestClassificationTrainingSummary>, Identifiable, MLWritable, scala.Serializable

Random Forest model for classification. It supports both binary and multiclass labels, as well as both continuous and categorical features.

param: _trees Decision trees in the ensemble. Warning: These have null parents.

See Also: