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311133e579
* bring back default build_text_classifier method * remove _set_dims_ hack in favor of proper dim inference * add tok2vec initialize to unit test * small fixes * add unit test for various textcat config settings * logistic output layer does not have nO * fix window_size setting * proper fix * fix W initialization * Update textcat training example * Use ml_datasets * Convert training data to `Example` format * Use `n_texts` to set proportionate dev size * fix _init renaming on latest thinc * avoid setting a non-existing dim * update to thinc==8.0.0a2 * add BOW and CNN defaults for easy testing * various experiments with train_textcat script, fix softmax activation in textcat bow * allow textcat train script to work on other datasets as well * have dataset as a parameter * train textcat from config, with example config * add config for training textcat * formatting * fix exclusive_classes * fixing BOW for GPU * bump thinc to 8.0.0a3 (not published yet so CI will fail) * add in link_vectors_to_models which got deleted Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com> |
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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_ner.py | ||
| train_new_entity_type.py | ||
| train_parser.py | ||
| train_tagger.py | ||
| train_textcat_config.cfg | ||
| train_textcat.py | ||
| training-data.json | ||
| vocab-data.jsonl | ||