Feature | Description |
---|---|
Name | en_tako_query_filter |
Version | 0.0.2 |
spaCy | >=3.7.5,<3.8.0 |
Default Pipeline | tok2vec , ner , textcat_classify |
Components | tok2vec , ner , textcat_classify |
Vectors | 514157 keys, 514157 unique vectors (300 dimensions) |
Sources | n/a |
License | n/a |
Author | n/a |
Label Scheme
View label scheme (21 labels for 2 components)
Component | Labels |
---|---|
ner |
CARDINAL , DATE , EVENT , FAC , GPE , LANGUAGE , LAW , LOC , MONEY , NORP , ORDINAL , ORG , PERCENT , PERSON , PRODUCT , QUANTITY , STOCK_TICKER , TIME , WORK_OF_ART |
textcat_classify |
ACCEPT , REJECT |
Accuracy
Type | Score |
---|---|
ENTS_F |
0.00 |
ENTS_P |
0.00 |
ENTS_R |
0.00 |
ENTS_PER_TYPE |
0.00 |
CATS_SCORE |
85.07 |
CATS_MICRO_P |
85.31 |
CATS_MICRO_R |
85.31 |
CATS_MICRO_F |
85.31 |
CATS_MACRO_P |
85.35 |
CATS_MACRO_R |
85.31 |
CATS_MACRO_F |
85.31 |
CATS_MACRO_AUC |
91.67 |
TEXTCAT_CLASSIFY_LOSS |
94.04 |
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Evaluation results
- NER Precisionself-reported0.000
- NER Recallself-reported0.000
- NER F Scoreself-reported0.000