spaCy/spacy/pipeline/defaults/textcat_bow_defaults.cfg

[model]
@architectures = "spacy.TextCatBOW.v1"
exclusive_classes = false
ngram_size: 1
no_output_layer: false
Train textcat with config (#5143) * 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> 2020-03-29 20:40:36 +03:00			`[model]`
			`@architectures = "spacy.TextCatBOW.v1"`
			`exclusive_classes = false`
			`ngram_size: 1`
			`no_output_layer: false`