Knowledge graph in Spacy
Feature | Description |
— | — |
Name | en_nligraphspacy |
Version | 0.0.1 |
spaCy | >=3.5.2,<3.6.0 |
Default Pipeline | tok2vec, ner |
Components | tok2vec, ner |
Vectors | 514157 keys, 20000 unique vectors (300 dimensions) |
Sources | n/a |
License | n/a |
Author | [Vishnu](https://github.com/Vishnunkumar/nligraphspacy) |
### Label Scheme
<details>
<summary>View label scheme (3 labels for 1 components)</summary>
Component | Labels |
— | — |
`ner` | EDGE, SOURCE-NODE, TARGET-NODE |
</details>
### Accuracy
Type | Score |
— | — |
ENTS_F | 98.39 |
ENTS_P | 98.34 |
ENTS_R | 98.45 |
TOK2VEC_LOSS | 72299.90 |
NER_LOSS | 154859.70 |
Release files for en-nligraphspacy 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| en_nligraphspacy-0.0.1.tar.gz | 40.6 MB | Details |
Release files / en_nligraphspacy-0.0.1.tar.gz
| Download URL | en_nligraphspacy-0.0.1.tar.gz |
|---|---|
| Size | 40.6 MB |
| Tags | Source |
|
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twine/4.0.2 CPython/3.10.9
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