For the Splunk Machine Learning Toolkit documention, see: http://docs.splunk.com/Documentation/MLApp/latest
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.
You must install the Python for Scientific Computing 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/
To install an app within Splunk Enterprise:
This release of Splunk Machine Learning Toolkit (MLTK) contains changes to bring compatibility with Python for Scientific Computing (PSC) version 3.0.0 and above. Therefore, this version of MLTK is only compatible with PSC 3.0.0 and later.
Note that models created in MLTK version 5.2.2 and earlier are not compatible with this version of MLTK (version 5.3.0) and after. Therefore, if you are upgrading to this version of MLTK, you must also re-create your existing MLTK models.
Features and improvements:
There are no new features in MLTK version 5.2.2. A few bug fixes and improvements are included in this release.
This version of MLTK replaces jQuery2 with jQuery3 to address vulnerability issues of jQuery2.
To confirm you are using a compatible version of the MLTK, see the Machine Learning Toolkit version dependencies matrix.
For the latest release notes, see http://docs.splunk.com/Documentation/MLApp/latest/User/Whatsnew.
Fixed an issue preventing DensityFunction models created in MLTK 4.3.0 from loading in MLTK 4.4.0
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