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The bnet action from the Bayesian Net Classifier action set uses Bayesian networ...
The countregFitModel action analyzes regression models in which the dependent va...
The flushresult action removes (flushes) a saved result from the current CAS ses...
The lmDecode action decodes recurrent neural network (RNN) scores by using a specified language model.
Specifies the bin width.
To run the action, you must specify the "table" parameter (input data), the "target" parameter (target variable), the "featureOut" parameter (to store feature pipelines), and the "transformationOut" parameter (to store transformation pipelines).
Specifies the frequency variable. Alias is frequency.
The clique number represents the size of the largest clique in the graph. You can calculate it by setting the `cliqueNumber` parameter to TRUE. The result is then available in the `results.cliqueNumber` output variable.