readme: ---
  license: mit
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - text-classification
  ---
  
  # Model description
  
  This is a multinomial naive Bayes model trained on 20 new groups dataset. Count vectorizer and TFIDF vectorizer are used on top of the model.
  
  ## Intended uses & limitations
  
  This model is not ready to be used in production.
  
  ## Training Procedure
  
  ### Hyperparameters
  
  The model is trained with below hyperparameters.
  
  <details>
  <summary> Click to expand </summary>
  
  | Hyperparameter      | Value                                                                                  |
  |---------------------|----------------------------------------------------------------------------------------|
  | memory              |                                                                                        |
  | steps               | [('vect', CountVectorizer()), ('tfidf', TfidfTransformer()), ('clf', MultinomialNB())] |
  | verbose             | False                                                                                  |
  | vect                | CountVectorizer()                                                                      |
  | tfidf               | TfidfTransformer()                                                                     |
  | clf                 | MultinomialNB()                                                                        |
  | vect__analyzer      | word                                                                                   |
  | vect__binary        | False                                                                                  |
  | vect__decode_error  | strict                                                                                 |
  | vect__dtype         | <class 'numpy.int64'>                                                                  |
  | vect__encoding      | utf-8                                                                                  |
  | vect__input         | content                                                                                |
  | vect__lowercase     | True                                                                                   |
  | vect__max_df        | 1.0                                                                                    |
  | vect__max_features  |                                                                                        |
  | vect__min_df        | 1                                                                                      |
  | vect__ngram_range   | (1, 1)                                                                                 |
  | vect__preprocessor  |                                                                                        |
  | vect__stop_words    |                                                                                        |
  | vect__strip_accents |                                                                                        |
  | vect__token_pattern | (?u)\b\w\w+\b                                                                          |
  | vect__tokenizer     |                                                                                        |
  | vect__vocabulary    |                                                                                        |
  | tfidf__norm         | l2                                                                                     |
  | tfidf__smooth_idf   | True                                                                                   |
  | tfidf__sublinear_tf | False                                                                                  |
  | tfidf__use_idf      | True                                                                                   |
  | clf__alpha          | 1.0                                                                                    |
  | clf__class_prior    |                                                                                        |
  | clf__fit_prior      | True                                                                                   |
  
  </details>
  
  ### Model Plot
  
  The model plot is below.
  
  <style>#sk-8f9616f3-01a7-4784-b5f5-5c31d2b0f7a6 {color: black;background-color: white;}#sk-8f9616f3-01a7-4784-b5f5-5c31d2b0f7a6 pre{padding: 0;}#sk-8f9616f3-01a7-4784-b5f5-5c31d2b0f7a6 div.sk-toggleable {background-color: white;}#sk-8f9616f3-01a7-4784-b5f5-5c31d2b0f7a6 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-8f9616f3-01a7-4784-b5f5-5c31d2b0f7a6 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-8f9616f3-01a7-4784-b5f5-5c31d2b0f7a6 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-8f9616f3-01a7-4784-b5f5-5c31d2b0f7a6 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-8f9616f3-01a7-4784-b5f5-5c31d2b0f7a6 div.sk-toggleable__content {