TEXTA CRF Extractor
Requirements
- Python >= 3.8
- SciPy installation for scikit-learn (requires BLAS & LAPACK system libraries).
Installation:
# For debian based systems (ex: debian:buster) to install binary dependencies.
apt-get update && apt-get install python3-scipy
# Install without MLP
pip install texta-crf-extractor
# Install with MLP
pip install texta-crf-extractor[mlp]
Usage:
from texta_crf_extractor.crf_extractor import CRFExtractor
from texta_mlp.mlp import MLP
mlp = MLP(language_codes=["en"], default_language_code="en")
# prepare data
texts = ["foo", "bar"]
mlp_docs = [mlp.process(text) for text in texts]
# create extractor
extractor = CRFExtractor(mlp=mlp)
# train the CRF model
extractor.train(mlp_docs)
# tag something
extractor.tag("Tere maailm!")
1 maintainer
Metadata
1 maintainer
Release files for texta-crf-extractor 2.2.0
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| File | Size | Uploaded | Provenance | Actions |
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| texta-crf-extractor-2.2.0.tar.gz | 20.7 kB | Without provenance | Details for texta-crf-extractor-2.2.0.tar.gz |
Release files / texta-crf-extractor-2.2.0.tar.gz
| Download URL | texta-crf-extractor-2.2.0.tar.gz |
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| Size | 20.7 kB |
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twine/1.15.0 pkginfo/1.8.2 requests/2.25.1 setuptools/50.3.0 requests-toolbelt/0.10.1 tqdm/4.64.1 CPython/3.5.10
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