org.apache.spark.ml.regression

Class GeneralizedLinearRegressionSummary

Object

org.apache.spark.ml.regression.GeneralizedLinearRegressionSummary

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

GeneralizedLinearRegressionTrainingSummary

public class GeneralizedLinearRegressionSummary
extends Object
implements scala.Serializable

Summary of GeneralizedLinearRegression model and predictions.

param: dataset Dataset to be summarized. param: origModel Model to be summarized. This is copied to create an internal model which cannot be modified from outside.

See Also:

Serialized Form

Method Summary

Modifier and Type	Method and Description
double	aic()
long	degreesOfFreedom()
double	deviance()
double	dispersion()
double	nullDeviance()
long	numInstances()
String	predictionCol() Field in "predictions" which gives the predicted value of each instance.
Dataset<Row>	predictions() Predictions output by the model's transform method.
long	rank()
long	residualDegreeOfFreedom()
long	residualDegreeOfFreedomNull()
Dataset<Row>	residuals() Get the default residuals (deviance residuals) of the fitted model.
Dataset<Row>	residuals(String residualsType) Get the residuals of the fitted model by type.

Methods inherited from class Object

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

Method Detail

aic

public double aic()

degreesOfFreedom

public long degreesOfFreedom()

deviance

public double deviance()

dispersion

public double dispersion()

nullDeviance

public double nullDeviance()

numInstances

public long numInstances()

predictionCol

public String predictionCol()

Field in "predictions" which gives the predicted value of each instance. This is set to a new column name if the original model's predictionCol is not set.

Returns:

(undocumented)

predictions

public Dataset<Row> predictions()

Predictions output by the model's transform method.

Returns:

(undocumented)

rank

public long rank()

residualDegreeOfFreedom

public long residualDegreeOfFreedom()

residualDegreeOfFreedomNull

public long residualDegreeOfFreedomNull()

residuals

public Dataset<Row> residuals()

Get the default residuals (deviance residuals) of the fitted model.

Returns:

(undocumented)

residuals

public Dataset<Row> residuals(String residualsType)

Get the residuals of the fitted model by type.

Parameters:

residualsType - The type of residuals which should be returned. Supported options: deviance, pearson, working and response.

Returns:

(undocumented)