com.rapidminer.operator.learner.functions
Class LinearRegressionModel
java.lang.Object
com.rapidminer.operator.AbstractIOObject
com.rapidminer.operator.ResultObjectAdapter
com.rapidminer.operator.AbstractModel
com.rapidminer.operator.learner.PredictionModel
com.rapidminer.operator.learner.functions.LinearRegressionModel
- All Implemented Interfaces:
- IOObject, Model, ResultObject, Saveable, Readable, Reportable, LoggingHandler, java.io.Serializable
public class LinearRegressionModel
- extends PredictionModel
The model for linear regression.
- Author:
- Ingo Mierswa
- See Also:
- Serialized Form
|
Constructor Summary |
LinearRegressionModel(ExampleSet exampleSet,
boolean[] selectedAttributes,
double[] coefficients,
boolean useIntercept,
java.lang.String firstClassName,
java.lang.String secondClassName)
|
| Methods inherited from class com.rapidminer.operator.ResultObjectAdapter |
addAction, getActions, getVisualizationComponent, isSavable, log, logError, logNote, logWarning, save, toHTML, toResultString |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
LinearRegressionModel
public LinearRegressionModel(ExampleSet exampleSet,
boolean[] selectedAttributes,
double[] coefficients,
boolean useIntercept,
java.lang.String firstClassName,
java.lang.String secondClassName)
performPrediction
public ExampleSet performPrediction(ExampleSet exampleSet,
Attribute predictedLabel)
throws OperatorException
- Description copied from class:
PredictionModel
- Subclasses should iterate through the given example set and set the
prediction for each example. The given predicted label attribute was
already be added to the example set and should be used to set the
predicted values.
- Specified by:
performPrediction in class PredictionModel
- Throws:
OperatorException
toString
public java.lang.String toString()
- Specified by:
toString in interface Readable- Overrides:
toString in class PredictionModel
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