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.
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Release files for microtc 2.4.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| microtc-2.4.13.tar.gz | 65.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| microtc-2.4.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 148.2 kB
Release files / microtc-2.4.13.tar.gz
| Download URL | microtc-2.4.13.tar.gz |
|---|---|
| Size | 65.0 kB |
| Tags | Source |
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Release files / microtc-2.4.13-py3-none-any.whl
| Download URL | microtc-2.4.13-py3-none-any.whl |
|---|---|
| Size | 83.2 kB |
| Tags | Python 3 |
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twine/5.1.1 CPython/3.10.15
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