GeneralizedLinearRegressionSummary

class pyspark.ml.regression.GeneralizedLinearRegressionSummary(java_obj: Optional[JavaObject] = None)

Generalized linear regression results evaluated on a dataset.

Methods

residuals([residualsType])

Get the residuals of the fitted model by type.

Attributes

aic

Akaike’s “An Information Criterion”(AIC) for the fitted model.

degreesOfFreedom

Degrees of freedom.

deviance

The deviance for the fitted model.

dispersion

The dispersion of the fitted model.

nullDeviance

The deviance for the null model.

numInstances

Number of instances in DataFrame predictions.

predictionCol

Field in predictions which gives the predicted value of each instance.

predictions

Predictions output by the model’s transform method.

rank

The numeric rank of the fitted linear model.

residualDegreeOfFreedom

The residual degrees of freedom.

residualDegreeOfFreedomNull

The residual degrees of freedom for the null model.

Methods Documentation

residuals(residualsType: str = 'deviance') → pyspark.sql.dataframe.DataFrame

Get the residuals of the fitted model by type.

Parameters
residualsTypestr, optional

The type of residuals which should be returned. Supported options: deviance (default), pearson, working, and response.

Attributes Documentation

aic

Akaike’s “An Information Criterion”(AIC) for the fitted model.

degreesOfFreedom

Degrees of freedom.

deviance

The deviance for the fitted model.

dispersion

The dispersion of the fitted model. It is taken as 1.0 for the “binomial” and “poisson” families, and otherwise estimated by the residual Pearson’s Chi-Squared statistic (which is defined as sum of the squares of the Pearson residuals) divided by the residual degrees of freedom.

nullDeviance

The deviance for the null model.

numInstances

Number of instances in DataFrame predictions.

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.

predictions

Predictions output by the model’s transform method.

rank

The numeric rank of the fitted linear model.

residualDegreeOfFreedom

The residual degrees of freedom.

residualDegreeOfFreedomNull

The residual degrees of freedom for the null model.