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
predictions
which 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
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.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.