Splunk® Machine Learning Toolkit

ML-SPL API Guide

This documentation does not apply to the most recent version of Splunk® Machine Learning Toolkit. For documentation on the most recent version, go to the latest release.

Create user facing messages

The Splunk Machine Learning Toolkit ships with utilities to make logging and user-facing errors easier to manage.

The Splunk Machine Learning Toolkit relies on a different Python interpreter than the interpreter shipped with Splunk Enterprise.

To begin, import and create a messages logger as follows:

from cexc import get_messages_logger
messages = get_messages_logger()

Once completed, you can add user facing messages as shown in the following code blocks:

some_variable = 'hello there'
messages.warn('Message of your choosing: {}'.format(some_variable))

This code produces the search warning in the following example:

Userfacingmessage.png

You can similarly produce error messages:

some_variable = 'hello there'
messages.error('Message of your choosing: {}'.format(some_variable))

This code produces the error message in the following example:

Userfacingmsg2.png

Last modified on 31 January, 2024
Learn more about the Machine Learning Toolkit   Use custom logging

This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 4.4.0, 4.4.1, 4.4.2, 4.5.0, 5.0.0, 5.1.0


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