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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

How can I save the results of the frequency analysis to a CAS table?

You can use the "casOut" parameter to specify the settings for the output table, such as the table name, caslib, whether to replace an existing table, and compression settings.

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On: freq

codeInteractions

requests that the action produce SAS score code to create variables encoding interactions. You must also request variable interactions of at least degree 2. The viicodegen value can be one or more of the following: casOut: specifies the settings for an output table. For more information about specifying the casOut parameter, see the common casouttable parameter. comment: when set to True, adds comments to the DATA step code. Default: FALSE fmtWdth: specifies the width to use for formatting derived numbers such as parameter estimates in the DATA step code. Alias: fmtWidth Default: 20 Range: 0–32 indentSize: specifies the number of spaces to indent the DATA step code for each level. Default: 3 Range: 0–10 labelId: specifies the label ID to use in array names and statement labels in the DATA step code. By default, a random positive integer is used. lineSize: specifies the line size for the generated code. Default: 120 Range: 64–254 noTrim: when set to True, bases the comparison of variables with formatted values on the full format width with padding. By default, leading and trailing blanks are removed from the formatted values. Default: FALSE tabForm: when set to True, generates the code in a way that is appropriate for storing in a table. Alias: tableForm Default: FALSE

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On: forestTrain

What estimation methods can be used with the caEffect action?

You can specify the estimation method using the 'method' parameter. The available options are 'AIPW' (Augmented Inverse Probability Weighting), 'IPW' (Inverse Probability Weighting), 'REGADJ' (Regression Adjustment), and 'TMLE' (Targeted Maximum Likelihood Estimation).

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On: caEffect

DCSSLPVTKEYLOC

specifies the location of the private key corresponding to the digital certificate.

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On: getServOpt