sid22669/intent_classification

1����sklearn.feature_extraction.text��TfidfVectorizer���)��}�(�input��content��encoding��utf-8��decode_error��strict��
strip_accents�N�preprocessor�N�	tokenizer�N�analyzer��word��	lowercase���
token_pattern��
(?u)\b\w\w+\b��2stop_words�N�max_df�G?��min_df�K
�max_features�N�ngram_range�K
K
���3vocabulary�N�binary���dtype��numpy��float64����norm��l2��use_idf���4smooth_idf���sublinear_tf���_tfidf�h�TfidfTransformer���)��}�(hh h!�h"�h#��n_features_in_�K�idf_��joblib.numpy_pickle��NumpyArrayWrapper���)��}�(�subclass�h�ndarray����shape�K���order��
C�hh�dtype����f8�����R�(K�
<�NNNJ����J����Kt�b�5allow_mmap���numpy_array_alignment_bytes�Kub����T1q�@K;��@�Z&k��@L�����@�R�A�@�V�{�@Х�0�R@��#^y&@�W�7|l@�"9_�6@ؐ���X@��?� 7@?��H��@����6@��[(� 
@�?ku����@�?����6@�yPV@� z��@�?5���h&@,b�5t8@ؐ���X@�?m��~��	@Х�0�R@��
�_sklearn_version��1.6.1�ub�fixed_vocabulary_���_stop_words_id�J��vocabulary_�}�(�frame�K�twenty�K�mcqs�K�on�K�9statistics�K�medium�K�level�K�generate�K�at�K�create�K
�list�K�ninety�K�five�K�easy�K�provide�K�hard�K�draft�K�eighty�K�prepare�K�fifty�K�design�K�forty�K10�fifteen�K�thirty�K�give�K
�me�K�	formulate�K	�sixty�Kuh@hAub.