Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
Commit | Credits | Log message |
3.8.0 18 Sep 2024 06:13:19
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Po-Chuan Hsieh (sunpoet)  |
textproc/py-spacy: Update to 3.8.0
Changes: https://github.com/explosion/spaCy/releases |
3.7.6 08 Sep 2024 18:37:48
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Po-Chuan Hsieh (sunpoet)  |
textproc/py-spacy: Update to 3.7.6
Changes: https://github.com/explosion/spaCy/releases |
3.7.5_1 04 Aug 2024 17:14:12
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Po-Chuan Hsieh (sunpoet)  |
textproc/py-spacy: Allow build with py-thinc8 8.3.0
- Bump PORTREVISION for package change |
3.7.5 06 Jun 2024 16:39:41
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Po-Chuan Hsieh (sunpoet)  |
textproc/py-spacy: Update to 3.7.5
Changes: https://github.com/explosion/spaCy/releases |
3.7.4_4 20 May 2024 10:33:03
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Vsevolod Stakhov (vsevolod)  |
security/libsodium: update to 1.0.19, bump dependent ports
PR: 278259
Reported by: Andrey Korobkov <alster-vinterdalen.se> |
3.7.4_3 19 May 2024 17:15:56
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Po-Chuan Hsieh (sunpoet)  |
textproc/py-spacy: Allow build with py-typer 0.10.0+
- Bump PORTREVISION for package change |
3.7.4_2 20 Apr 2024 18:28:39
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Po-Chuan Hsieh (sunpoet)  |
textproc/py-spacy: Change *_DEPENDS from py-thinc to py-thinc8
- Bump PORTREVISION for dependency change |
3.7.4_1 08 Apr 2024 06:47:19
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Po-Chuan Hsieh (sunpoet)  |
textproc/py-spacy: Allow build with py-weasel 0.4.0
- Bump PORTREVISION for package change
Obtained
from: https://github.com/explosion/spaCy/commit/f5e85fa05a5de357ee6a516a907042ec28f4f580 |
3.7.4 09 Mar 2024 14:06:17
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Po-Chuan Hsieh (sunpoet)  |
textproc/py-spacy: Allow build with py-smart-open 7.0.1+ |
3.7.4 21 Feb 2024 15:06:09
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Po-Chuan Hsieh (sunpoet)  |
textproc/py-spacy: Add py-spacy 3.7.4
spaCy is a library for advanced Natural Language Processing in Python and
Cython. It's built on the very latest research, and was designed from day one to
be used in real products.
spaCy comes with pretrained pipelines and currently supports tokenization and
training for 70+ languages. It features state-of-the-art speed and neural
network models for tagging, parsing, named entity recognition, text
classification and more, multi-task learning with pretrained transformers like
BERT, as well as a production-ready training system and easy model packaging,
deployment and workflow management. |