For the Splunk Machine Learning Toolkit documentation, see: http://docs.splunk.com/Documentation/MLApp/latest.
Datasets
This application may contain certain sample files and datasets, which are provided for your convenience only. Such files and datasets contain information and data compiled by third parties, and Splunk makes no representation or warranty that the data contained in such files and datasets are true, accurate, complete or sanitized.
Requirements
You must install the Python for Scientific Computing (PSC) add-on before installing the Machine Learning Toolkit. Please download and install the appropriate version here:
Linux 64-bit: https://splunkbase.splunk.com/app/2882/
Windows 64-bit: https://splunkbase.splunk.com/app/2883/
Enhancements to the DensityFunction algorithm. The new supervise_split_by parameter can be set to true or false.
When set to true, the fields entered in the by clause are used by a decision tree algorithm to automatically generate groups in the dataset.
Changes have been made to what anonymized data the Machine Learning Toolkit as deployed on Splunk Enterprise sends Splunk Inc. For details, see Share data in the Machine Learning Toolkit.
There are no known issues for version 5.4.2 of the ML-SPL API. Use the following support resources if you encounter an issue.
For custom algorithm and PSC version dependencies, see Custom algorithms and PSC version dependencies.
* Ask questions and get answers through community support at Splunk Answers.
* If you have a support contract, submit a case using the Splunk Support Portal.
* For general Splunk platform support, see the Splunk Support Programs page.
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