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Which output tables does the minCut action produce to store the results?

The minCut action can produce two main output tables: 'outCutSets' to store the links that form the minimum cut sets, and 'outPartitions' to store the minimum cut partitions of the nodes.

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On: minCut

What is the purpose of the 'nominals' parameter?

The 'nominals' parameter is used to specify the nominal variables that will be used in the training for the dimensionality reduction.

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On: lpca

includeMissing

by default, observations with missing values are included. When set to False, observations with missing values for the variables used in the tree model are ignored when scoring. Default: TRUE.

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On: gbtreeScore

Is it possible to compare individual color channels of the images?

Yes, by setting the `separateChannels` parameter to True, the action will compare each color channel separately. This is the default behavior.

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On: compareImages

How are classification variables handled in the model?

You can specify classification variables using the "class" parameter. This parameter allows you to define options such as the parameterization method ("param"), the reference level ("ref"), and the sort order ("order") for the categorical variables.

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On: frontierCost