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path: "tensorflow.keras.preprocessing.text.Tokenizer"
tf_class {
is_instance: "<class \'tensorflow.python.keras._impl.keras.preprocessing.text.Tokenizer\'>"
is_instance: "<type \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'num_words\', \'filters\', \'lower\', \'split\', \'char_level\'], varargs=None, keywords=None, defaults=[\'None\', \'!\"#$%&()*+,-./:;<=>?@[\\\\]^_`{|}~\\t\\n\', \'True\', \' \', \'False\'], "
}
member_method {
name: "fit_on_sequences"
argspec: "args=[\'self\', \'sequences\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "fit_on_texts"
argspec: "args=[\'self\', \'texts\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "sequences_to_matrix"
argspec: "args=[\'self\', \'sequences\', \'mode\'], varargs=None, keywords=None, defaults=[\'binary\'], "
}
member_method {
name: "texts_to_matrix"
argspec: "args=[\'self\', \'texts\', \'mode\'], varargs=None, keywords=None, defaults=[\'binary\'], "
}
member_method {
name: "texts_to_sequences"
argspec: "args=[\'self\', \'texts\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "texts_to_sequences_generator"
argspec: "args=[\'self\', \'texts\'], varargs=None, keywords=None, defaults=None"
}
}
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