readme: ---
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  model_file: model.pkl
  widget:
    structuredData:
      word:
      - lathem
      - meer
      - slaen
  ---
  
  # Model description
  
  Middle Dutch NER with PassiveAgressiveClassifier
  
  ## Intended uses & limitations
  
  This model is not ready to be used in production.
  
  ## Training Procedure
  
  TESTING
  
  ### Hyperparameters
  
  The model is trained with below hyperparameters.
  
  <details>
  <summary> Click to expand </summary>
  
  | Hyperparameter            | Value                                                                |
  |---------------------------|----------------------------------------------------------------------|
  | memory                    |                                                                      |
  | steps                     | [('vectorizer', CountVectorizer()), ('classifier', MultinomialNB())] |
  | verbose                   | False                                                                |
  | vectorizer                | CountVectorizer()                                                    |
  | classifier                | MultinomialNB()                                                      |
  | vectorizer__analyzer      | word                                                                 |
  | vectorizer__binary        | False                                                                |
  | vectorizer__decode_error  | strict                                                               |
  | vectorizer__dtype         | <class 'numpy.int64'>                                                |
  | vectorizer__encoding      | utf-8                                                                |
  | vectorizer__input         | content                                                              |
  | vectorizer__lowercase     | True                                                                 |
  | vectorizer__max_df        | 1.0                                                                  |
  | vectorizer__max_features  |                                                                      |
  | vectorizer__min_df        | 1                                                                    |
  | vectorizer__ngram_range   | (1, 1)                                                               |
  | vectorizer__preprocessor  |                                                                      |
  | vectorizer__stop_words    |                                                                      |
  | vectorizer__strip_accents |                                                                      |
  | vectorizer__token_pattern | (?u)\b\w\w+\b                                                        |
  | vectorizer__tokenizer     |                                                                      |
  | vectorizer__vocabulary    |                                                                      |
  | classifier__alpha         | 1.0                                                                  |
  | classifier__class_prior   |                                                                      |
  | classifier__fit_prior     | True                                                                 |
  
  </details>
  
  ### Model Plot
  
  The model plot is below.
  
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