重量SVM
Synopsis
This operator calculates the relevance of the attributes by computing for each attribute of the input ExampleSet the weight with respect to the class attribute. The coefficients of a hyperplane calculated by an SVM (Support Vector Machine) are set as attribute weights.
Description
The Weight by SVM operator uses the coefficients of the normal vector of a linear SVM as attribute weights. In contrast to most of the SVM based operators available in RapidMiner, this operator works for multiple classes too. Please note that the attribute values still have to be numerical. This operator can be applied only on ExampleSets with numerical label. Please use appropriate preprocessing operators (type conversion operators) in order to ensure this. For more information about SVM please study the documentation of the
Input
example set
This input port expects an ExampleSet. It is output of the Retrieve operator in the attached Example Process.
Output
weights
This port delivers the weights of the attributes with respect to the label attribute. The attributes with higher weight are considered more relevant.
example set
The ExampleSet that was given as input is passed without changing to the output through this port. This is usually used to reuse the same ExampleSet in further operators or to view the ExampleSet in the Results Workspace.
Parameters
Normalize weights
This parameter indicates if the calculated weights should be normalized or not. If set to true, all weights are normalized in the range from 0 to 1.
Sort weights
This parameter indicates if the attributes should be sorted according to their weights in the results. If this parameter is set to true, the order of sorting is specified using the排序方向parameter.
Sort direction
This parameter is only available when thesort weightsparameter is set to true. This parameter specifies the sorting order of the attributes according to their weights.
C
This parameter specifies the SVM complexity weighting factor.