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Select by Weights

Synopsis​

This operator selects only those attributes of an input ExampleSet whose weights satisfy the specified criterion with respect to the input weights.

Description​

This operator selects only those attributes of an input ExampleSet whose weights satisfy the specified criterion with respect to the input weights. Input weights are provided through the weights input port. The criterion for attribute selection by weights is specified by the weight relation parameter.

Input​

example set​

This input port expects an ExampleSet. It is the output of the Retrieve operator in the attached Example Process. The output of other operators can also be used as input. It is essential that meta data should be attached with the data for the input because attributes are specified in their meta data. The Retrieve operator provides meta data along-with data

weights​

This port expects the attribute weights. There are numerous operators that provide the attribute weights. The Weight by Correlation operator is used in the Example Process.

Output​

example set​

The ExampleSet with selected attributes is output of this port.

original​

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.

weights​

The Attributes weights that were provided at the weights input port are delivered through this output port.

Parameters​

Weight relation​

Only those attributes are selected whose weights satisfy this relation.

  • greater: Attributes whose weights are greater than the weight parameter are selected.
  • greater_equals: Attributes whose weights are equal or greater than the weight parameter are selected.
  • equals: Attributes whose weights are equal to the weight parameter are selected.
  • less_equals: Attributes whose weights are equal or less than the weight parameter are selected.
  • less: Attributes whose weights are less than the weight parameter are selected.
  • top_k: The k attributes with highest weights are selected. k is specified by the k parameter.
  • bottom_k: The k attributes with lowest weights are selected. k is specified by the k parameter.
  • all_but_top_k: All attributes other than the k attributes with highest weights are selected. k is specified by the k parameter.
  • all_but_bottom_k: All attributes other than k attributes with lowest weights are selected. k is specified by the k parameter.
  • top_p%: The top p percent attributes with highest weights are selected. p is specified by the p parameter.
  • bottom_p%: The bottom p percent attributes with lowest weights are selected. p is specified by the p parameter.

Weight​

This parameter is available only when the weight relation parameter is set to 'greater', 'greater equals', 'equals', 'less equals' or 'less'. This parameter is used to compare weights.

K​

This parameter is available only when the weight relation parameter is set to 'top k', 'bottom k', 'all but top k' or 'all but bottom k'. It is used to count the number of attributes to select.

P​

This parameter is available only when the weight relation parameter is set to 'top p%' or 'bottom p%'. It is used to specify the percentage of attributes to select.

Deselect unknown​

This is an expert parameter. This parameter indicates if attributes whose weight is unknown should be removed from the ExampleSet.

Use absolute weights​

This is an expert parameter. This parameter indicates if the absolute values of the weights should be used for comparison.