Skip to main content

A generic minimal text classifier

Project description

https://travis-ci.org/INGEOTEC/microtc.svg?branch=master https://ci.appveyor.com/api/projects/status/afcwh0d9sw6g937h/branch/master?svg=true https://coveralls.io/repos/github/INGEOTEC/microtc/badge.svg?branch=master https://anaconda.org/ingeotec/microtc/badges/version.svg https://badge.fury.io/py/microtc.svg https://anaconda.org/ingeotec/microtc/badges/downloads.svg https://readthedocs.org/projects/microtc/badge/?version=latest https://colab.research.google.com/assets/colab-badge.svg

microTC is a minimalist text classifier, that is, it is designed to tackle text-classification problems in an agnostic way, being both domain and language independent.

microTC is intentionally simple, so only a small number of features were implemented. However, it uses a some complex tools from numpy and scikit-lean. The number of dependencies is limited and fulfilled by almost any Scientific Python distributions, e.g., Anaconda.

The documentation is on readthedocs.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for microtc, version 2.2.9
Filename, size File type Python version Upload date Hashes
Filename, size microtc-2.2.9.tar.gz (37.9 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page