Text Classification
Scikit-learn
Portuguese
ncm
classificacao-fiscal
agronegocio
scikit-learn
skops
tfidf
Instructions to use AmandaGondra/ncm-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use AmandaGondra/ncm-classifier with Scikit-learn:
# ⚠️ Model filename not specified in config.json
- Notebooks
- Google Colab
- Kaggle
File size: 647 Bytes
d9d3b1c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"normalization": "ncm_classifier.text.normalize.normalize_text",
"applied_by": "both TF-IDF vectorizers of the pipeline (preprocessor)",
"steps": [
"Unicode NFKC, lowercase, accents removed",
"fertilizer formulas standardized (NPK 20 05 20 -> npk 20-05-20)",
"decimal commas, units and abbreviations standardized",
"punctuation and extra spaces removed"
],
"rule_31_05": {
"module": "ncm_classifier.rules.small_package",
"applied_after": "calibration",
"limit_kg": 10.0,
"target": "3105"
},
"package": "ncm-classifier @ git+https://github.com/amanda-gondra/ncm-classifier@v0.1.0"
}
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