org.apache.spark.ml.feature

Interface VarianceThresholdSelectorParams

All Superinterfaces:

HasFeaturesCol, HasOutputCol, Identifiable, Params, java.io.Serializable

All Known Implementing Classes:

VarianceThresholdSelector, VarianceThresholdSelectorModel

public interface VarianceThresholdSelectorParams
extends Params, HasFeaturesCol, HasOutputCol

Params for VarianceThresholdSelector and VarianceThresholdSelectorModel.

Method Summary

Modifier and Type	Method and Description
double	getVarianceThreshold()
DoubleParam	varianceThreshold() Param for variance threshold.

Methods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesCol

featuresCol, getFeaturesCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasOutputCol

getOutputCol, outputCol

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copy, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString, uid

Method Detail

getVarianceThreshold

double getVarianceThreshold()

varianceThreshold

DoubleParam varianceThreshold()

Param for variance threshold. Features with a variance not greater than this threshold will be removed. The default value is 0.0.

Returns:

(undocumented)