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gbtreeScore
decisionTree

Scores a table using a gradient boosting tree model....

mbcScore
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The mbcScore action processes a model created by the mbcFit action and saved in ...

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Provides an action for performing variable clustering and providing undirected n...

Random FAQ

Which parameters are required to run the condenseImages action?

The two mandatory parameters are 'table', which specifies the input table containing the image data, and 'casOut', which specifies the properties of the output table.

See answer
On: condenseImages
What are inputs?

specifies the input variables to use in the analysis. For more information about specifying the inputs parameter, see the common casinvardesc parameter. Alias: input.

See answer
On: gbtreeTrain
percentileMaxIterations=integer

specifies the maximum number of iterations for percentile computation. Alias pctlMaxIters

See answer
On: impute
seed

specifies a seed value for random number generation. This value is used for repeatable random number generation in some scenarios. Default: 0

See answer
On: generateShadowFeatures
How can I calculate measures of association between variables?

Set the 'association' parameter to True to compute various measures of association between the row and column variables of the crosstabulation. The default is False.

See answer
On: crossTab
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