See: Description
| Class | Description |
|---|---|
| PMMLRegressionTranslator |
A regression model translator class between KNIME and PMML.
|
| PMMLRegressionTranslator.NumericPredictor |
This class represents a single numeric predictor with its name (usually
the column name it is responsible for), the exponent and the coefficient.
|
| PMMLRegressionTranslator.RegressionTable |
This table wraps a polynomial regression formula for use inside a PMML
model.
|
| RegressionContent |
Base class for the learned statistics of the (linear or polynomial) regression models.
|
| RegressionStatisticsLearner |
Base class for the linear and polynomial regression statistics learner methods (@link
org.knime.base.node.mine.regression.linear2.learner.Learner} and
Learner). |
| RegressionTrainingData |
This class is a decorator for a DataTable.
|
| RegressionTrainingDataIterator |
This is a decorator for a iterator over DataRows.
|
| RegressionTrainingRow |
A decorator for a data row.
|
| RegressionTrainingRow.MissingHandling |
Helper class to handle missing values.
|
| Enum | Description |
|---|---|
| MissingValueHandling |
This enum holds all ways of handling missing values in the input table.
|
KNIME GmbH, Konstanz, Germany
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