Package org.apache.spark.ml.stat

Class FValueTest

Object

org.apache.spark.ml.stat.FValueTest

public class FValueTest
extends Object

FValue test for continuous data.

Constructor Summary

Constructors

Constructor	Description
FValueTest()

Method Summary

Modifier and Type	Method	Description
static Dataset<Row>	test(Dataset<Row> dataset, String featuresCol, String labelCol)
static Dataset<Row>	test(Dataset<Row> dataset, String featuresCol, String labelCol, boolean flatten)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

FValueTest

public FValueTest()

Method Details

test

public static Dataset<Row> test(Dataset<Row> dataset,
 String featuresCol,
 String labelCol)

Parameters:

dataset - DataFrame of continuous labels and continuous features.

featuresCol - Name of features column in dataset, of type Vector (VectorUDT)

labelCol - Name of label column in dataset, of any numerical type

Returns:

DataFrame containing the test result for every feature against the label. This DataFrame will contain a single Row with the following fields: - pValues: Vector - degreesOfFreedom: Array[Long] - fValues: Vector Each of these fields has one value per feature.

test

public static Dataset<Row> test(Dataset<Row> dataset,
 String featuresCol,
 String labelCol,
 boolean flatten)

Parameters:

dataset - DataFrame of continuous labels and continuous features.

featuresCol - Name of features column in dataset, of type Vector (VectorUDT)

labelCol - Name of label column in dataset, of any numerical type

flatten - If false, the returned DataFrame contains only a single Row, otherwise, one row per feature.

Returns:

(undocumented)