Just In Time Machine (Statistical) Learning.
JIT means that instead of building models on the backend while receiving data, we only apply ML to data we want to process. This gives us the flexibility to fast retrain models while for example user is editing the data.
Installation
bower install purescript-learn
Features
- Anomaly detection
- Outlier Detection (Unsupervised)
- Metrics
- Confusion matrix
- F score
Documentation
Module documentation is published on Pursuit.
Build
bower update
pulp testWe are happy to receive bug reports, fixes, documentation enhancements, and other improvements.
Please report bugs via the github issue tracker.
purescript-learn source code is distributed under the Apache-2.0 license.
Contributions
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be licensed as above, without any additional terms or conditions.