A generic minimal text classifier
Project description
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.
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 Distribution
microtc-2.2.0.tar.gz
(33.0 kB
view details)
File details
Details for the file microtc-2.2.0.tar.gz.
File metadata
- Download URL: microtc-2.2.0.tar.gz
- Upload date:
- Size: 33.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ed98d07de14b21bcc0d18afabd09fe9e1c3476e65eb1f36bb0f6dfdea9c77d9b
|
|
| MD5 |
f5473266bd8e4e059461c00241ed5428
|
|
| BLAKE2b-256 |
0859cecd3223f5538332e079d88a754a4e7a9d0207e609616bd0d8480e8a37da
|
