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gpReg
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Learns a Gaussian process regression model....

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The exploreData action performs data exploration, automatic variable analysis, a...

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The countregFitModel action analyzes regression models in which the dependent va...

Random FAQ

Parameters for Creating Output Tables

Parameter : Subparameter : Description casOut : — : specifies the CAS table to store the analysis results. saveState : — : specifies the CAS table to store the feature transformation and generation model.

See answer
On: generateShadowFeatures
What are the main output tables that can be generated by this action?

The action can generate three main output tables: 'outcontribution' for contribution results, 'outremoval' for removal effect results, and 'outtpm' for the transition probability matrix.

See answer
On: marketattribution
What is the purpose of the 'modelTable' parameter in the 'forestCode' action?

The 'modelTable' parameter (alias: 'model') is a required parameter that specifies the input table containing the forest model from which to generate the scoring code.

See answer
On: forestCode
How do `gPositive` and `gNegative` parameters influence rule extraction?

The `gPositive` parameter specifies the minimum g-score for a positive term, while `gNegative` specifies the minimum g-score for a negative term to be considered for rule extraction. The default for both is 8.

See answer
On: brTrain
DCSSLCERTISS

specifies the name of the issuer of the digital certificate that TLS should use.

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On: getServOpt
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