Skip to main content

Machine Learning Over Time-Series: A toolkit for time-series analysis

Project description

Machine Learning Over Time-Series (MLOTS)

mlots provides Machine Learning tools for Time-Series Classification.

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

Support

If you are having issues, please let us know.

License

The project is licensed under the GNU GENERAL PUBLIC LICENSE Version 3 license.

Project details


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-0.0.3.1-py3-none-any.whl (23.3 kB view details)

Uploaded Python 3

File details

Details for the file mlots-0.0.3.1-py3-none-any.whl.

File metadata

  • Download URL: mlots-0.0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 23.3 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

Hashes for mlots-0.0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d29aaf00b8181257d4b84464a0b35c6a6838d48cddd6381c01cffb515ff452e9
MD5 96cbeae0f9fe3d2c9a11389e1dfdd576
BLAKE2b-256 ecf0c655974ee15b86d29c42d5d235df601a57ce7f9dd8e77017a2ed6b7e7ac0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page