ValueIndexer¶

class ValueIndexer.ValueIndexer(inputCol=None, outputCol=None)[source]¶

Bases: mmlspark.Utils.ComplexParamsMixin, pyspark.ml.util.JavaMLReadable, pyspark.ml.util.JavaMLWritable, pyspark.ml.wrapper.JavaEstimator

Fits a dictionary of values from the input column.

The ValueIndexer generates a model, then transforms a column to a categorical column of the given array of values. It is similar to StringIndexer except that it can be used on any value types.

Parameters:	inputCol (str) – The name of the input column outputCol (str) – The name of the output column

getInputCol()[source]¶

Returns:	The name of the input column
Return type:	str

static getJavaPackage()[source]¶: Returns package name String.

getOutputCol()[source]¶

Returns:	The name of the output column
Return type:	str

classmethod read()[source]¶: Returns an MLReader instance for this class.

setInputCol(value)[source]¶

Parameters:	inputCol (str) – The name of the input column

setOutputCol(value)[source]¶

Parameters:	outputCol (str) – The name of the output column

setParams(inputCol=None, outputCol=None)[source]¶

Set the (keyword only) parameters

Parameters:	inputCol (str) – The name of the input column outputCol (str) – The name of the output column

class ValueIndexer.ValueIndexerModel(java_model=None)[source]¶

Bases: mmlspark.Utils.ComplexParamsMixin, pyspark.ml.wrapper.JavaModel, pyspark.ml.util.JavaMLWritable, pyspark.ml.util.JavaMLReadable

Model fitted by ValueIndexer.

This class is left empty on purpose. All necessary methods are exposed through inheritance.

static getJavaPackage()[source]¶: Returns package name String.

classmethod read()[source]¶: Returns an MLReader instance for this class.