This documentation does not apply to the most recent version of Splunk® Machine Learning Toolkit.
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Known issues
The following are known issues in the Splunk Machine Learning Toolkit version 2.4.0.
Date filed | Issue number | Description |
---|---|---|
2017-10-05 | MLA-1942 | Threshold value rounding generates false outliers on the Outliers Chart |
2017-09-07 | MLA-1927 | Python for Scientific Computing does not support REST handling |
2017-08-25 | MLA-1916 | Uncaught StatsModels error with ARIMA order=0-2-0 |
2017-04-18 | MLA-1811 | Fields with mixed numeric and categorical values may be misrepresented during fit and apply, causing a column mismatch error |
2017-02-28 | MLA-1670 | "Outliers Over Time" plot doesn't display any data if the _time field does not contain a Unix timestamp. |
2017-02-24 | MLA-1648 | Outliers Chart is blank if timeseries data are not sorted |
2016-12-13 | MLA-1485 | In the Forecast Time Series assistant, forecasting a very large number of points may cause the browser to crash. |
2016-11-30 | MLA-1450 | ElasticNet fails if only one field is specified for "Fields to use for predicting" and "estimate the intercept" is disabled. Workaround: Use Linear Regression for this use case. |
2016-11-18 | MLA-1421 | MLTK Custom Visualizations may be out of date after updating the app if using Splunk Enterprise 6.4. Workaround: Clear your browser cache or force the Splunk platform to reset its web cache with the following URL: <yoursplunk>/en-US/_bump |
2016-08-24 | MLA-1145 | Machine Learning Toolkit does not load correctly if its folder is renamed. |
2016-07-19 | MLA-1014 | Fields with integer values and missing values are converted into floating point values |
Last modified on 01 March, 2018
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This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 2.4.0
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