Splunk® Machine Learning Toolkit

ML-SPL API Guide

Create user facing messages

The Splunk Machine Learning Toolkit (MLTK) ships with utilities to make user-facing errors easy to manage.

MLTK relies on a different Python interpreter than the interpreter that ships with Splunk Enterprise.

Complete the following steps:

  1. Import and create a messages logger: 
    from cexc import get_messages_logger
messages = get_messages_logger()
  2. Add user facing messages:
    1. Use the following syntax to add a warning message: 
      some_variable = 'hello there'
messages.warn('Message of your choosing: {}'.format(some_variable))
      Userfacingmessage.png
    2. Use the following syntax to add an error messages: 
      some_variable = 'hello there'
messages.error('Message of your choosing: {}'.format(some_variable))
      Userfacingmsg2.png
Last modified on 31 January, 2024
Develop and package a custom machine learning model in MLTK   Use custom logging

This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 5.2.0, 5.2.1, 5.2.2, 5.3.0, 5.3.1, 5.3.3, 5.4.0, 5.4.1, 5.4.2, 5.5.0

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