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Yes, you can. The 'store' parameter saves the fitted model to a CAS table as a binary large object (BLOB), which can be restored later for scoring or further analysis. Additionally, the 'output' parameter can create a new CAS table containing observation-wise statistics like predicted probabilities, residuals, and confidence limits.
The audio.loadAudio action is used to load audio files from a specified path into an in-memory CAS table.
The 'whereTable' subparameter in 'modelTable' specifies an input table whose rows are used as a WHERE filter for the model data. If the 'vars' subparameter is not specified for 'whereTable', all common variable names between the input table and the filtering table are used for matching rows. This filter is applied first if a 'where' expression is also provided for 'modelTable'.
The process standard deviation is estimated using the method specified in the `sMethod` parameter. You can choose from three methods: 'RMSDF' (a weighted root mean square estimate), 'SMVLUE' (a minimum variance linear unbiased estimate based on subgroup standard deviations), or 'SNOWEIGHT' (an unweighted estimate based on subgroup standard deviations). The default method is 'SNOWEIGHT'.
The 'format' parameter, when set to False, returns numeric values instead of human-readable formatted values. Its alias is 'formatted' and the default value is TRUE.