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What is the 'table.vars' subparameter?

The 'table.vars' subparameter specifies the variables to use in the action. The casinvardesc value can be one or more of the following: 'format', 'formattedLength', 'label', 'name', 'nfd', 'nfl'.

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On: groupBy

m

specifies the number of input variables to consider for splitting on a node. The variables are selected at random from the input variables for each tree. By default, forest uses the square root of the number of input variables is used, rounded up to the nearest integer. For gradient boosting, the number of input variables is used. Minimum value: 1

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On: forestTrain

How can I save the fitted model for future use, such as scoring?

To save the estimated model, you use the 'store' parameter. You provide a name and optionally a caslib for the output item store. This stored model can then be used by other actions, like 'countreg.countregViewStore', or for scoring new data.

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On: countregFitModel

model.weights.whereTable.vars.nfl

Specifies the length of the format field.

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On: IdentifySpeakers

weight

specifies the weight variable.

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On: highCardinality