https://www.elastic.co/what-is/elasticsearch-machine-learning
The ml-cpp repo is a part of Machine Learning for the Elastic Stack, which is available with either a trial or platinum license for the Elastic Stack.
This repo only contains the the C++ code that implements the core analytics for machine learning.
Code for integrating into Elasticsearch and source for its documentation can be found in the main elasticsearch repo.
Usage in production requires that you have a license key that permits use of machine learning features. See LICENSE.txt for full information.
To get started with Machine Learning please have a look at https://www.elastic.co/guide/en/machine-learning/current/ml-getting-started.html.
Full documentation of Machine Learning can be found at https://www.elastic.co/guide/en/machine-learning/current/index.html.
We are happy to help and to make sure your questions can be answered by the right people, please follow the guidelines below:
- If you have a general question about functionality please use our discuss forums.
- If you have a support contract please use your dedicated support channel.
- For questions regarding subscriptions please contact us.
- For bug reports, pull requests and feature requests specifically for machine learning analytics, please use this GitHub repository.
Please have a look at our contributor guidelines.
You don't need to specifically build the C++ components for machine learning as, by default, the elasticsearch build will download pre-compiled C++ artifacts.
Setting up a build environment for ml-cpp native code is complex. If you are specifically interested in working with the ml-cpp code, then information regarding setting up a build environment can be found in the build-setup directory.