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The addLayer action adds a layer to a deep learning model. It is part of the Dee...
The `ecm` action creates a sample of the enterprise-wide loss (aggregate loss) b...
The caEffect action provides model-agnostic methods for estimating potential out...
The input data table is specified using the table parameter, which accepts a castable structure. This structure includes options for caslib, computedOnDemand, computedVars, computedVarsProgram, dataSourceOptions, groupBy, groupByMode, importOptions, name (required), orderBy, singlePass, vars, and whereTable.
The 'copies' parameter specifies the number of redundant copies of the table's rows to create for fault tolerance. A value of 0 means no redundancy, while the default is 1.
The maxFlow action calculates the maximum flow of a graph. It is part of the Network Optimization action set, which provides tools for combinatorial and network flow optimization.
specifies the caslib for the input table that you want to use with the action. By default, the active caslib is used. Specify a value only if you need to access a table from a different caslib.
Specifies the length of the format field.