GeneralizedLinearRegressionSummary#
- class pyspark.ml.regression.GeneralizedLinearRegressionSummary(java_obj=None)[source]#
- Generalized linear regression results evaluated on a dataset. - New in version 2.0.0. - Methods - residuals([residualsType])- Get the residuals of the fitted model by type. - Attributes - Akaike's "An Information Criterion"(AIC) for the fitted model. - Degrees of freedom. - The deviance for the fitted model. - The dispersion of the fitted model. - The deviance for the null model. - Number of instances in DataFrame predictions. - Field in - predictionswhich gives the predicted value of each instance.- Predictions output by the model's transform method. - The numeric rank of the fitted linear model. - The residual degrees of freedom. - The residual degrees of freedom for the null model. - Methods Documentation - residuals(residualsType='deviance')[source]#
- Get the residuals of the fitted model by type. - New in version 2.0.0. - 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. - New in version 2.0.0. 
 - degreesOfFreedom#
- Degrees of freedom. - New in version 2.0.0. 
 - deviance#
- The deviance for the fitted model. - New in version 2.0.0. 
 - 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. - New in version 2.0.0. 
 - nullDeviance#
- The deviance for the null model. - New in version 2.0.0. 
 - numInstances#
- Number of instances in DataFrame predictions. - New in version 2.2.0. 
 - predictionCol#
- Field in - predictionswhich gives the predicted value of each instance. This is set to a new column name if the original model’s predictionCol is not set.- New in version 2.0.0. 
 - predictions#
- Predictions output by the model’s transform method. - New in version 2.0.0. 
 - rank#
- The numeric rank of the fitted linear model. - New in version 2.0.0. 
 - residualDegreeOfFreedom#
- The residual degrees of freedom. - New in version 2.0.0. 
 - residualDegreeOfFreedomNull#
- The residual degrees of freedom for the null model. - New in version 2.0.0.