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The minCut action calculates the minimum cut of a graph. A cut is a partition of...
creates a table on the server that contains results from scoring observations by...
The featureMachine action is an automated feature transformation and generation ...
defines a set of variables that are treated as a single effect that has multiple degrees of freedom. The collection value can be one or more of the following:details=TRUE | FALSEwhen set to True, requests a table that shows additional details that are related to this effect.DefaultFALSE* name="string"specifies the name of the effect.* vars={"variable-name-1" } specifies a set of variables that are treated as a single effect that has multiple degrees of freedom. The columns in the design matrix that are contributed by a collection effect are the design columns of its constituent variables in the order in which they appear in the definition of the collection effect.
To improve performance, especially when using the CLAUS_n operator, you can use a two-step process. First, run `applyConcept` with the `parseTableOut` parameter to save the pre-parsed documents to a CAS table. Then, in a subsequent run, use this table as input via the `parseTableIn` parameter to avoid re-parsing the text.
The Lua syntax for this action is: `results, info = s:session_addNodeStatus{}`
New 64-bit integer processing
The available statistics are ENTROPY, MI (Mutual Information, default), NORMMI (Normalized Mutual Information), PEARSON, and SU (Symmetric Uncertainty).