https://github.com/vivekmahato/mlots

mlots is python package that provides Machine Learning tools for Time-Series Classification.
https://github.com/vivekmahato/mlots

approximate-nearest-neighbor-search classification dtw machine-learning minirocket nearest-neighbors time-series

Last synced: 2 months ago
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mlots is python package that provides Machine Learning tools for Time-Series Classification.

• Host: GitHub
• URL: https://github.com/vivekmahato/mlots
• Owner: vivekmahato
• License: bsd-3-clause
• Created: 2021-02-07T19:54:36.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2022-09-13T11:47:36.000Z (almost 4 years ago)
• Last Synced: 2024-07-05T14:30:45.898Z (almost 2 years ago)
• Topics: approximate-nearest-neighbor-search, classification, dtw, machine-learning, minirocket, nearest-neighbors, time-series
• Language: Jupyter Notebook
• Homepage:
• Size: 2.84 MB
• Stars: 11
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          






# Machine Learning On Time-Series (```MLOTS```)

![](docs/source/images/signal.gif)  

[![Build Status](https://travis-ci.com/vivekmahato/mlots.svg?branch=main)](https://travis-ci.com/vivekmahato/mlots)

[![codecov](https://codecov.io/gh/vivekmahato/mlots/branch/main/graph/badge.svg?token=YRbBDwzetb)](https://codecov.io/gh/vivekmahato/mlots)

[![PyPI pyversions](https://img.shields.io/pypi/pyversions/mlots.svg)](https://pypi.python.org/pypi/mlots/)

[![Documentation Status](https://readthedocs.org/projects/mlots/badge/?version=latest)](http://mlots.readthedocs.io/?badge=latest)

[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)

![GitHub last commit](https://img.shields.io/github/last-commit/vivekmahato/mlots?color=red&style=plastic)

[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/mistermahato.svg?style=social&label=Follow)](https://twitter.com/mistermahato)

```mlots``` provides Machine Learning tools for Time-Series Classification. This package builds on (and hence depends

on) ```scikit-learn```, ```numpy```, ```tslearn```, ```annoy```, and ```hnswlib``` libraries.

It can be installed as a python package from the [PyPI](https://pypi.org/project/mlots/) repository.

## Installation

Install ```mlots``` by running:

   
pip install mlots



After installation, it can be imported to a ```python``` environment to be employed.

   
import mlots



## Documentation

The documentation is hosted at [readthedocs](https://mlots.readthedocs.io/). Examples of using ```mlots``` models are present in the [Getting Started](https://mlots.readthedocs.io/en/latest/#getting-started) section of the documentation.

## Contribute

- Issue Tracker: https://github.com/vivekmahato/mlots/issues

- Source Code: https://github.com/vivekmahato/mlots

## Support

If you are having issues, please let us know.

## License

The project is licensed under the BSD 3-Clause license.

## Acknowledgements

We thank Angus Dempster et al. for sharing (open-sourcing) the code for ROCKET and MINIROCKET.