See: Description
Class | Description |
---|---|
AbstractPMMLRegressionModel |
A representation of features found in PMML regressionModel elements that do not
depend on its attributes.
|
AbstractPMMLRegressionModel.CategoricalPredictor | |
AbstractPMMLRegressionModel.NumericPredictor |
Capture information about numeric predictor values.
|
AbstractPMMLRegressionModel.RegressionTable | |
LinearRegressionLearner |
Performs a multivariate linear regression on the given training data.
|
LogisticRegressionLearner |
Fits a multinomial logistic regression model to the training data.
|
LogisticRegressionPredictor | |
PMMLRegressionClassificationModel |
Implementation of a 'maximum likelihood' classifier on top of regression models.
|
PMMLRegressionModel |
PMML object model for Regression models.
|
RegressionPredictor |
Apply a regression model to the input data.
|
SumOfSquares |
Compute the sum of squares for the given fields of the input data.
|
Enum | Description |
---|---|
AbstractPMMLRegressionModel.ModelType |
The possible values of the ModelType attribute of a PMML regressionModel.
|
AbstractPMMLRegressionModel.NormalizationMethod |
The normalization methods used.
|
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