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listresults
session

Lists the saved results for a session. This action is useful for managing and re...

forestScore
decisionTree

The forestScore action scores an input table using a previously trained forest m...

getSessOpt
sessionProp

Displays the value of a session option. This action is part of the Session Prope...

Random FAQ

Which parameter must be specified to identify the model?

The 'modelTable' parameter is required to specify the table containing the gradient boosting tree model.

See answer
On: gbtreeCode
threeD

specifies the layout algorithms are to determine coordinates for vertices in 3-dimensions. Default: FALSE.

See answer
On: hypergroup
vote

specifies the vote strategy for classification. The specified value influences the generated SAS scoring code and the OOB error computations. Default: MAJORITY MAJORITY: specifies to use the majority vote to predict. PROB: specifies to use the average probability from the forest to predict.

See answer
On: forestTrain
model.attributes.vars.nfd

Specifies the length of the format precision.

See answer
On: IdentifySpeakers
What is the function of the 'randomCrop' parameter in an 'INPUT' layer?

The 'randomCrop' parameter specifies how to crop images when they are used as input. Options include 'UNIQUE' for random offset cropping, 'RESIZETHENCROP' for resizing then cropping, and 'RANDOMRESIZED' for random scaling and aspect ratio adjustments before resizing.

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On: addLayer
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