  from spacy.util import minibatch, compounding
  
  
  @plac.annotations(
      model=("Model name. Defaults to blank 'en' model.", "option", "m", str),
      output_dir=("Optional output directory", "option", "o", Path),
      n_texts=("Number of texts to train from", "option", "t", int),
      n_iter=("Number of training iterations", "option", "n", int),
      init_tok2vec=("Pretrained tok2vec weights", "option", "t2v", Path),
  )
 
</s>
    config_path=("Path to config file", "positional", None, Path),
  from spacy.util import minibatch, compounding
  
  
  @plac.annotations(
    config_path=("Path to config file", "positional", None, Path),
      output_dir=("Optional output directory", "option", "o", Path),
      n_texts=("Number of texts to train from", "option", "t", int),
      n_iter=("Number of training iterations", "option", "n", int),
      init_tok2vec=("Pretrained tok2vec weights", "option", "t2v", Path),
  )
keep keep keep keep replace keep keep keep keep keep
 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>
examples/training/train_textcat.py