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See:
Description
Class Summary | |
---|---|
AggregateOutputNodeDialogPane | This dialog lets the user choose the column containing the predicted class values and the column containing the real class values. |
AggregateOutputNodeFactory | This factory creates all necessary classes for the Cross validation aggregator node. |
AggregateOutputNodeModel | This models aggregates the result from each of the cross validation loops. |
AggregateSettings | This class holds the settings for the aggregation node. |
XValidateDialog | This is the simple dialog for the cross validation node. |
XValidatePartitionerFactory | This factory creates all necessary classes for the cross validation partioning node. |
XValidatePartitionModel | This is the cross validation partitioning node model that divides the input table into partitions. |
XValidateSettings | Simple class for managing the cross validation settings. |
The
xvalidation
package contains all classes for a cross validation flow. The workflow between
the XValidatePartitionModel
node and
the AggregateOutputNodeModel
node should consist of at least a learner and its predictor. The output of
the predictor should be connected to the aggregator node. The class column set
in the aggregator node and the predictor has to be the same.
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