Splunk® Machine Learning Toolkit

ML-SPL API Guide

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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

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


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