So once again, the Splunk Machine Learning Toolkit attempts to simplify or streamline the process of applying machine learning techniques to your Splunk-collected data.
This version 3.1.0 (of the app) provides showcase examples organized by the type of analytic using:
- Classification (predicting a yay or nay)
- Regression
- Anomaly detection
- Outlier detection
- Other ways
The showcases demonstrate how to apply the aforementioned machine learning methods to a sample of datasets (also downloaded as part of the app) for you to use as a starting point for building your own analysis.
Once you have launched the Splunk Machine Learning Toolkit app, you will see the Showcase
page:
From the Splunk Showcase
page, you can click on any of showcase examples, each of which will open the appropriate assistant, guiding you through the process of applying it to data.
If you click on one of the examples listed (such as Predict Numeric Fields
), you will see the assistant applied to sample data:
The toolkit...