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Implements generalized linear multitask learning and solves multiple related spa...
The `assess` action in the Percentile action set is a powerful tool for evaluati...
The logisticScore action creates a table on the server that contains results fro...
The gbtreeCode action is designed to generate DATA step scoring code from a gradient boosting tree model.
Specifies the length of the format precision.
You can use the 'nTree' parameter to specify the number of trees in the sum-of-trees ensemble. The default value is 200.
The 'osName' result is a string. You can access the value from results.osName.
Yes, you can use the 'store' parameter to save the model into a binary table object. This stored model can then be used for scoring new data with the bartScore action.