Daniël de Kok 61471038f5 Add TextCatReduce.v1 ... This is a textcat classifier that pools the vectors generated by a tok2vec implementation and then applies a classifier to the pooled representation. Three reductions are supported for pooling: first, max, and mean. When multiple reductions are enabled, the reductions are concatenated before providing them to the classification layer. This model is a generalization of the TextCatCNN model, which only supports mean reductions and is a bit of a misnomer, because it can also be used with transformers. This change also reimplements TextCatCNN.v2 using the new TextCatReduce.v1 layer.		2023-12-06 10:37:16 +01:00
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__init__.py	SpanFinder into spaCy from experimental (#12507)	2023-06-07 15:52:28 +02:00
entity_linker.py	Configure isort to use the Black profile, recursively isort the spacy module (#12721)	2023-06-14 17:48:41 +02:00
multi_task.py	Configure isort to use the Black profile, recursively isort the spacy module (#12721)	2023-06-14 17:48:41 +02:00
parser.py	Configure isort to use the Black profile, recursively isort the spacy module (#12721)	2023-06-14 17:48:41 +02:00
span_finder.py	Configure isort to use the Black profile, recursively isort the spacy module (#12721)	2023-06-14 17:48:41 +02:00
spancat.py	Configure isort to use the Black profile, recursively isort the spacy module (#12721)	2023-06-14 17:48:41 +02:00
tagger.py	Configure isort to use the Black profile, recursively isort the spacy module (#12721)	2023-06-14 17:48:41 +02:00
textcat.py	Add TextCatReduce.v1	2023-12-06 10:37:16 +01:00
tok2vec.py	📝 Fix formula for receptive field in docs (#12918)	2023-08-21 10:52:32 +02:00