IBM Watson nl-c training time
For NLC, it depends on data type and quantity. There is no time for when it will be completed, but I have seen the classifier start a training session for almost one day.
However, usually from 30 minutes to several hours.
Watson's conversation of intentions is significantly faster (minutes). But both use different models, so I would recommend testing them and seeing the results. Also check how each scores when comparing (absolute / relative).
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If your operating system is UNIX, you can determine how long the query takes to complete and display the results when executed using dbaccess. You can use the time command to report how much time has been spent, from start to finish of a query. Including the time to connect to the database, run the query and write the results to the output device.
The time command takes another command or utility as an argument and writes a message to standard error that lists the timing statistics for that command. It reports the elapsed time between command invocation and termination. The message contains the following information:
Elapsed (real) time between the call and the end of the utility. Real time is divided into two components, depending on the type of processing: User processor time, equivalent to the sum of the tms_utime and tms_cutime fields returned by the time function for the process in which the utility is running. or, CPU system time, equivalent to the sum of the tms_stime and tms_cstime fields returned by the times () function for the process in which the utility is running.
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