Machine Learning Over Time-Series: A toolkit for time-series analysis
Project description
Machine Learning On Time-Series (MLOTS)
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 repository.
Installation
Install mlots by running:
pip install mlots
After installation, it can be imported to a python environment to be employed.
import mlots
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
mlots-0.0.5.1-py3-none-any.whl
(12.3 kB
view details)
File details
Details for the file mlots-0.0.5.1-py3-none-any.whl.
File metadata
- Download URL: mlots-0.0.5.1-py3-none-any.whl
- Upload date:
- Size: 12.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d88c4339c682e9bfbf54127c270d35063cf6a36a7e7504db3cd7f7736446b7a9 |
|
| MD5 | cafbf74f1ffee033dcbd959a6b07a577 |
|
| BLAKE2b-256 | 31c2c51c3c59c9778ee1b98b8e4b3e0c678c3a88763bfa382a3ba201a863cdc3 |
