What's new
Here's what's new in each version of the Machine Learning Toolkit and Showcase app.
Version 1.3.0
Features and improvements
- You can now create alerts within the Machine Learning Toolkit and Showcase App from some of the panels in the assistants. Alerts can be viewed under Scheduled Jobs > Alerts.
- You can now schedule model training in the Predict Numeric Fields and Predict Categorical Fields assistants by clicking the icon on the right side of the Fit Model button.
- The Training/Test split can now be set to a 100/0 split (no split).
Version 1.2.0
Features and improvements
- The DecisionTreeClassifier and DecisionTreeRegressor algorithms are now supported. For details, see Algorithms.
- The Detect Numeric Outliers assistant now includes an Include current point checkbox to support the "current" parameter of the
streamstats
command. - The Predict Numeric Fields assistant has an improved Actual vs. Predicted Line Chart, which replaces the Actual vs. Predicted Overlay.
- Two macros in the Forecast Time Series assistant have been merged into one macro.
- The
max_features
parameter of the RandomForestClassifier and RandomForestRegressor algorithms now accepts values with the float data type. - The Remove from history confirmation dialog box has been improved.
- A basic framework has been implemented for displaying Bootstrap's modal dialog boxes in the Machine Learning Toolkit and Showcase UI.
Version 1.1.0
Features and improvements
- The visualizations in the Cluster Events showcase have been updated.
- The Predict Numeric Fields and Predict Categorical Fields assistants now allow you to enter wildcards in Fields to use for predicting. For example, to specify both the Packets Received and Packets Sent fields, enter "Packets*". Wildcards are case sensitive.
- The Select All and Select None buttons on the Predict Numeric Fields and Predict Categorical Fields assistants have been moved inside the dropdown list.
Algorithms
- The KernelRidge regression algorithm is now supported. For details, see Algorithms.
Bug fixes
The following bugs were fixed. For details, see Fixed issues.
- Changing the time range or search mode on assistant search bars will now re-run the search in the search bar, the same as the default Search page in Splunk Enterprise.
- Custom visualizations will now display time stamps correctly when the event time differs from browser time.
- Caching issues have been fixed, and the app no longer loads old versions of resources after an update.
- Exit points in assistants now correctly have the same time range as that assistant's search bar.
Version 1.0.0
This is the first release of the Machine Learning Toolkit and Showcase app.
Forecast Time Series | Known issues |
This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 1.3.0
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