org.apache.spark.ml.feature

Interface VectorIndexerParams

All Superinterfaces:

HasHandleInvalid, HasInputCol, HasOutputCol, Identifiable, Params, java.io.Serializable

All Known Implementing Classes:

VectorIndexer, VectorIndexerModel

public interface VectorIndexerParams
extends Params, HasInputCol, HasOutputCol, HasHandleInvalid

Private trait for params for VectorIndexer and VectorIndexerModel

Method Summary

Modifier and Type	Method and Description
int	getMaxCategories()
Param<String>	handleInvalid() Param for how to handle invalid data (unseen labels or NULL values).
IntParam	maxCategories() Threshold for the number of values a categorical feature can take.

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

getInputCol, inputCol

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

getOutputCol, outputCol

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

getHandleInvalid

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

getMaxCategories

int getMaxCategories()

handleInvalid

Param<String> handleInvalid()

Param for how to handle invalid data (unseen labels or NULL values). Note: this param only applies to categorical features, not continuous ones. Options are: 'skip': filter out rows with invalid data. 'error': throw an error. 'keep': put invalid data in a special additional bucket, at index of the number of categories of the feature. Default value: "error"

Specified by:

handleInvalid in interface HasHandleInvalid

Returns:

(undocumented)

maxCategories

IntParam maxCategories()

Threshold for the number of values a categorical feature can take. If a feature is found to have > maxCategories values, then it is declared continuous. Must be greater than or equal to 2.

(default = 20)

Returns:

(undocumented)