org.apache.spark.ml

tuning

package tuning

Visibility
  1. Public
  2. All

Type Members

  1. class CrossValidator extends Estimator[CrossValidatorModel] with CrossValidatorParams with MLWritable with Logging

    K-fold cross validation performs model selection by splitting the dataset into a set of non-overlapping randomly partitioned folds which are used as separate training and test datasets e.

  2. class CrossValidatorModel extends Model[CrossValidatorModel] with CrossValidatorParams with MLWritable

    CrossValidatorModel contains the model with the highest average cross-validation metric across folds and uses this model to transform input data.

  3. class ParamGridBuilder extends AnyRef

    Builder for a param grid used in grid search-based model selection.

  4. class TrainValidationSplit extends Estimator[TrainValidationSplitModel] with TrainValidationSplitParams with MLWritable with Logging

    Validation for hyper-parameter tuning.

  5. class TrainValidationSplitModel extends Model[TrainValidationSplitModel] with TrainValidationSplitParams with MLWritable

    Model from train validation split.

Value Members

  1. object CrossValidator extends MLReadable[CrossValidator] with Serializable

    Annotations
    @Since( "1.6.0" )
  2. object CrossValidatorModel extends MLReadable[CrossValidatorModel] with Serializable

    Annotations
    @Since( "1.6.0" )
  3. object TrainValidationSplit extends MLReadable[TrainValidationSplit] with Serializable

    Annotations
    @Since( "2.0.0" )
  4. object TrainValidationSplitModel extends MLReadable[TrainValidationSplitModel] with Serializable

    Annotations
    @Since( "2.0.0" )

Members