Daniël de Kok e5debc68e4 Tagger: use unnormalized probabilities for inference (#10197) ... * Tagger: use unnormalized probabilities for inference Using unnormalized softmax avoids use of the relatively expensive exp function, which can significantly speed up non-transformer models (e.g. I got a speedup of 27% on a German tagging + parsing pipeline). * Add spacy.Tagger.v2 with configurable normalization Normalization of probabilities is disabled by default to improve performance. * Update documentation, models, and tests to spacy.Tagger.v2 * Move Tagger.v1 to spacy-legacy * docs/architectures: run prettier * Unnormalized softmax is now a Softmax_v2 option * Require thinc 8.0.14 and spacy-legacy 3.0.9		2022-03-15 14:15:31 +01:00
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models	Tagger: use unnormalized probabilities for inference (#10197)	2022-03-15 14:15:31 +01:00
__init__.py	Auto-format code with black (#9530)	2021-10-22 13:03:10 +02:00
_character_embed.py	🏷 Add Mypy check to CI and ignore all existing Mypy errors (#9167)	2021-10-14 15:21:40 +02:00
_precomputable_affine.py	TransitionBasedParser.v1 to legacy (#8586)	2021-07-06 15:26:45 +02:00
callbacks.py	Auto-format code with black (#9530)	2021-10-22 13:03:10 +02:00
extract_ngrams.py	🏷 Add Mypy check to CI and ignore all existing Mypy errors (#9167)	2021-10-14 15:21:40 +02:00
extract_spans.py	Fix entity linker batching (#9669)	2022-03-04 09:17:36 +01:00
featureextractor.py	Fix import	2020-10-02 01:12:34 +02:00
parser_model.pxd	The Parser is now a Pipe (2) (#5844)	2020-07-30 23:30:54 +02:00
parser_model.pyx	The Parser is now a Pipe (2) (#5844)	2020-07-30 23:30:54 +02:00
staticvectors.py	User fewer Vector internals (#9879)	2022-01-18 17:14:35 +01:00
tb_framework.py	TransitionBasedParser.v1 to legacy (#8586)	2021-07-06 15:26:45 +02:00