HMM Procedure

The STORE statement saves the model information to the specified output data table that can be processed by the ASTORE procedure. An example of using analytic store technology is to perform a time-consuming model learning (that is, parameter estimation) and to store the learned model by using the STORE statement. Later you can perform the inference (namely, evaluating, filtering, smoothing, decoding, and forecasting) based on the saved model from the previous analysis, without having to learn the model again. For more information about the ASTORE procedure, see the chapter “The ASTORE Procedure” in SAS Viya: Machine Learning Procedures. The output data table consists of binary large object columns to store the binary data. Do not edit the content of this output data table. If you run the PRINT procedure on this data table, you get a row of zeros or meaningless characters, because the data type of each column is binary.

libref.data-table is a two-level name, where libref refers to the library, and data-table specifies the name of the output data table. For more information about this two-level name, see the section Using CAS Sessions and CAS Engine Librefs.