mirror of https://github.com/explosion/spaCy.git
b71a11ff6d
* Add pos and morph scoring to Scorer Add pos, morph, and morph_per_type to `Scorer`. Report pos and morph accuracy in `spacy evaluate`. * Update morphologizer for v3 * switch to tagger-based morphologizer * use `spacy.HashCharEmbedCNN` for morphologizer defaults * add `Doc.is_morphed` flag * Add morphologizer to train CLI * Add basic morphologizer pipeline tests * Add simple morphologizer training example * Remove subword_features from CharEmbed models Remove `subword_features` argument from `spacy.HashCharEmbedCNN.v1` and `spacy.HashCharEmbedBiLSTM.v1` since in these cases `subword_features` is always `False`. * Rename setting in morphologizer example Use `with_pos_tags` instead of `without_pos_tags`. * Fix kwargs for spacy.HashCharEmbedBiLSTM.v1 * Remove defaults for spacy.HashCharEmbedBiLSTM.v1 Remove default `nM/nC` for `spacy.HashCharEmbedBiLSTM.v1`. * Set random seed for textcat overfitting test |
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| .. | ||
| ner_example_data | ||
| textcat_example_data | ||
| conllu-config.json | ||
| conllu.py | ||
| ner_multitask_objective.py | ||
| pretrain_kb.py | ||
| pretrain_textcat.py | ||
| rehearsal.py | ||
| train_entity_linker.py | ||
| train_intent_parser.py | ||
| train_morphologizer.py | ||
| train_ner.py | ||
| train_new_entity_type.py | ||
| train_parser.py | ||
| train_tagger.py | ||
| train_textcat.py | ||
| train_textcat_config.cfg | ||
| training-data.json | ||
| vocab-data.jsonl | ||