Class VarianceThresholdSelector

All Implemented Interfaces:
Serializable, org.apache.spark.internal.Logging, VarianceThresholdSelectorParams, Params, HasFeaturesCol, HasOutputCol, DefaultParamsWritable, Identifiable, MLWritable, scala.Serializable

public final class VarianceThresholdSelector extends Estimator<VarianceThresholdSelectorModel> implements VarianceThresholdSelectorParams, DefaultParamsWritable
Feature selector that removes all low-variance features. Features with a (sample) variance not greater than the threshold will be removed. The default is to keep all features with non-zero variance, i.e. remove the features that have the same value in all samples.
See Also: