  import spacy
  from spacy import util
  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),
 
</s> remove     model=("Model name. Defaults to blank 'en' model.", "option", "m", str),
 </s> add     config_path=("Path to config file", "positional", None, Path), </s> remove from spacy.ml._layers import PrecomputableAffine
from spacy.ml._layers import _backprop_precomputable_affine_padding
 </s> add from spacy.ml._precomputable_affine import PrecomputableAffine, _backprop_precomputable_affine_padding
from spacy.gold import Example, GoldParse
  import spacy
  from spacy import util
  from spacy.util import minibatch, compounding
from spacy.gold import Example, GoldParse
  
  
  @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),
keep keep add keep 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