GeneralizedLinearRegressionTrainingSummary¶
-
class
pyspark.ml.regression.
GeneralizedLinearRegressionTrainingSummary
(java_obj=None)[source]¶ Generalized linear regression training results.
New in version 2.0.0.
Methods
Attributes
Methods Documentation
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residuals
(residualsType='deviance')¶ Get the residuals of the fitted model by type.
- Parameters
residualsType – The type of residuals which should be returned. Supported options: deviance (default), pearson, working, and response.
New in version 2.0.0.
Attributes Documentation
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aic
¶ Akaike’s “An Information Criterion”(AIC) for the fitted model.
New in version 2.0.0.
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coefficientStandardErrors
¶ Standard error of estimated coefficients and intercept.
If
GeneralizedLinearRegression.fitIntercept
is set to True, then the last element returned corresponds to the intercept.New in version 2.0.0.
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degreesOfFreedom
¶ Degrees of freedom.
New in version 2.0.0.
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deviance
¶ The deviance for the fitted model.
New in version 2.0.0.
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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.
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nullDeviance
¶ The deviance for the null model.
New in version 2.0.0.
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numInstances
¶ Number of instances in DataFrame predictions.
New in version 2.2.0.
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numIterations
¶ Number of training iterations.
New in version 2.0.0.
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pValues
¶ Two-sided p-value of estimated coefficients and intercept.
If
GeneralizedLinearRegression.fitIntercept
is set to True, then the last element returned corresponds to the intercept.New in version 2.0.0.
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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.
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predictions
¶ Predictions output by the model’s transform method.
New in version 2.0.0.
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rank
¶ The numeric rank of the fitted linear model.
New in version 2.0.0.
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residualDegreeOfFreedom
¶ The residual degrees of freedom.
New in version 2.0.0.
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residualDegreeOfFreedomNull
¶ The residual degrees of freedom for the null model.
New in version 2.0.0.
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solver
¶ The numeric solver used for training.
New in version 2.0.0.
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tValues
¶ T-statistic of estimated coefficients and intercept.
If
GeneralizedLinearRegression.fitIntercept
is set to True, then the last element returned corresponds to the intercept.New in version 2.0.0.
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