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The `glm` action fits linear regression models using the method of least squares...
The fism action applies the FP-growth algorithm to identify frequent item sets w...
The mitigateBias action uses the exponentiated gradient reduction algorithm to m...
The `casOut` parameter is required to create a table on the server that contains observation-wise statistics computed from scoring a data table.
You can use the "maxRows" parameter to define the maximum number of rows to return. Additionally, the "from" and "to" parameters can be used to specify a range of rows by ordinal position.
The 'table.singlePass' subparameter, when set to True, does not create a transient table on the server. Setting this parameter to True can be efficient, but the data might not have stable ordering upon repeated runs. Default: FALSE.
specifies the name of the input table.
The 'instore' parameter is required. It is used to specify the item store from which to restore the model properties and final estimates.