org.apache.spark.ml.regression
Akaike Information Criterion (AIC) for the fitted model.
Akaike Information Criterion (AIC) for the fitted model.
Degrees of freedom.
Degrees of freedom.
The deviance for the fitted model.
The deviance for the fitted model.
The dispersion of the fitted model.
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.
Private copy of model to ensure Params are not modified outside this class.
Private copy of model to ensure Params are not modified outside this class. Coefficients is not a deep copy, but that is acceptable.
predictionCol must be set correctly before the value of model is set, and model must be set before predictions is set!
The deviance for the null model.
The deviance for the null model.
Field in "predictions" which gives the predicted value of each instance.
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 output by the model's transform method.
Predictions output by the model's transform method.
The numeric rank of the fitted linear model.
The numeric rank of the fitted linear model.
The residual degrees of freedom.
The residual degrees of freedom.
The residual degrees of freedom for the null model.
The residual degrees of freedom for the null model.
Get the residuals of the fitted model by type.
Get the residuals of the fitted model by type.
The type of residuals which should be returned. Supported options: deviance, pearson, working and response.
Get the default residuals (deviance residuals) of the fitted model.
Get the default residuals (deviance residuals) of the fitted model.
:: Experimental :: Summary of GeneralizedLinearRegression model and predictions.