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The assessBias action calculates bias metrics for predictive models. This is a c...
The `glm` action fits linear regression models using the method of least squares...
The fastknn action performs a k-nearest neighbor search. It calculates the dista...
specifies that all vertices in the data are to be output even if they have no edges incident onto them. Alias: kav. Default: FALSE.
The 'table' parameter is a required parameter that specifies the settings for the input CAS table containing the audio data.
The 'casOut' parameter is required and specifies the settings for the output table where the computed features will be stored.
The arima action provides functionality for Autoregressive Integrated Moving Average (ARIMA) models, which are used for analyzing and forecasting univariate time series data.
Specifies the table that contains weights of the model. The castable value can be one or more of the following: caslib, computedOnDemand, computedVars, computedVarsProgram, dataSourceOptions, importOptions, name (required), singlePass, vars, where, whereTable.