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The `copyModelExternal` action allows for the duplication of an analytic model, ...
The addLayer action adds a layer to a deep learning model. It is part of the Dee...
The caslibInfo action displays information about one or more caslibs. It can sho...
The eigenThreshold parameter specifies the minimum proportion of variance an eigenvalue must explain to be included in the analysis; otherwise, it is discarded.
Model selection can be performed using the 'selection' parameter. The available methods ('method') include 'FORWARD', 'BACKWARD', 'STEPWISE', 'LASSO', and 'ELASTICNET'. You can control the selection process with criteria such as 'AIC', 'SBC', or significance levels ('slEntry', 'slStay').
The maxFlow action returns several results, including: 'ProblemSummary' (a summary of the graph input), 'SolutionSummary' (a summary of the algorithm's solution), 'objective' (the total weight of the maximum network flow), and 'solutionStatus' (the solution status of the algorithm).
The `augmentImages` action is used to augment images by creating patches from them and applying various mutations or transformations. This is a common technique in computer vision to artificially expand a training dataset.
The 'name' parameter is a string that specifies the name for the user-defined action set that is being restored.