Package org.apache.spark.ml.regression

Class GeneralizedLinearRegression.Family$

Object

org.apache.spark.ml.regression.GeneralizedLinearRegression.Family$

All Implemented Interfaces:

Serializable, scala.Serializable

Enclosing class:

GeneralizedLinearRegression

public static class GeneralizedLinearRegression.Family$
extends Object
implements scala.Serializable

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static final GeneralizedLinearRegression.Family$	MODULE$	Static reference to the singleton instance of this Scala object.

Constructor Summary

Constructors

Constructor	Description
Family$()

Method Summary

Modifier and Type	Method	Description
org.apache.spark.ml.regression.GeneralizedLinearRegression.Family	fromParams(GeneralizedLinearRegressionBase params)	Gets the GeneralizedLinearRegression.Family object based on param family and variancePower.

Methods inherited from class java.lang.Object

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

Field Details

MODULE$

public static final GeneralizedLinearRegression.Family$ MODULE$

Static reference to the singleton instance of this Scala object.

Constructor Details

Family$

public Family$()

Method Details

fromParams

public org.apache.spark.ml.regression.GeneralizedLinearRegression.Family fromParams(GeneralizedLinearRegressionBase params)

Gets the GeneralizedLinearRegression.Family object based on param family and variancePower. If param family is set with "gaussian", "binomial", "poisson" or "gamma", return the corresponding object directly; otherwise, construct a Tweedie object according to variancePower.

Parameters:

params - the parameter map containing family name and variance power

Returns:

(undocumented)