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compileConcept

textRuleDevelop

Builds a concept model from linguistic rules defined in a CAS table. This action...

condenseImages

image

The condenseImages action is a utility function that converts a CAS table with n...

convertMps

optimization

The convertMps action is a utility function within the Optimization action set. ...

How do I get the component ID for each node in the output?

Use the 'outNodes' parameter to specify an output table. This table will include the original node information along with a new column, typically named 'concomp', which contains the identifier for the connected component that each node belongs to.

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On: connectedComponents

What are the burn-in and sampling iterations and how are they controlled?

The process involves a burn-in phase followed by the main sampling phase. The 'nBI' parameter sets the number of burn-in iterations (default 100), which are discarded. The 'nMC' parameter specifies the number of subsequent MCMC iterations that are saved for prediction (default 1000).

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On: bartProbit

Which parameters are required to run the crfScore action?

The required parameters are 'casOut' to specify the output table, 'model' to provide the input model tables, 'table' for the input data, and 'target' to name the predicted variable in the output.

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On: crfScore

What is the purpose of the 'modelTable' parameter?

The 'modelTable' parameter specifies the input table that contains the model to explain. This table must contain an analytic store or DATA step scoring code.

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On: assessBias

What are the required parameters for the crfTrain action?

The required parameters for the crfTrain action are 'table' to specify the input data, 'model' to define the output modeling tables, 'target' for the predicted variable, and 'template' to specify the feature extraction template.

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On: crfTrain