org.apache.spark.ml.regression

Class GeneralizedLinearRegression.Family$

Object

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

All Implemented Interfaces:

java.io.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 and Description
static GeneralizedLinearRegression.Family$	MODULE$ Static reference to the singleton instance of this Scala object.

Constructor Summary

Constructors

Constructor and Description
Family$()

Method Summary

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

Methods inherited from class Object

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

Field Detail

MODULE$

public static final GeneralizedLinearRegression.Family$ MODULE$

Static reference to the singleton instance of this Scala object.

Constructor Detail

Family$

public Family$()

Method Detail

fromParams

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

Gets the 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)