| Feature | Description |
|---|---|
| Name | fr_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.4.1,<3.5.0 |
| Default Pipeline | tok2vec, tagger, national, thematic, sentiments, ner |
| Components | tok2vec, tagger, national, thematic, sentiments, ner |
| Vectors | -1 keys, 50000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details>
<summary>View label scheme (71 labels for 5 components)</summary>
| Component | Labels |
|---|---|
tagger |
1, 10, 100, 125, 13, 14, 15, 17, 19, 190, 2, 25, 3, 46, 5, 50, 500, 6, 7, 80, 800, ADJ, ADP, ADV, AUX, CCONJ, CONJ, DET, INTJ, NOUN, NUM, PRON, PROPN, PUNCT, SCONJ, SYM, VERB, X |
national |
International, National |
thematic |
Coopération/Diplomatie, Culture, Economie, Education, Election, Environnement, Gouvernement, Insolite, Justice, Nécrologie, People, Politique, Réligion, Santé, Sexualité/Vie couple, Société, Sport, Sécurité, Sécurité routière, Technologie |
sentiments |
Negatif, Neutre, Positif |
ner |
DATE, EVENT, LOC, MISC, MONEY, ORG, PER, PER-T |
</details>
Accuracy
| Type | Score |
|---|---|
CATS_SCORE |
90.37 |
CATS_MICRO_P |
96.04 |
CATS_MICRO_R |
96.04 |
CATS_MICRO_F |
96.04 |
CATS_MACRO_P |
92.01 |
CATS_MACRO_R |
88.90 |
CATS_MACRO_F |
90.37 |
CATS_MACRO_AUC |
97.36 |
CATS_MACRO_AUC_PER_TYPE |
0.00 |
TOK2VEC_LOSS |
0.00 |
TEXTCAT_LOSS |
478.59 |
