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classification nlpaug.augmenter.char.arbitrary. RandomChare='RandomChar_Aug', aug_char_min=1, sexy Takasago girl aug_char_max=10, aug_char_p=0.3, aug_word_p=0.3, aug_word_min=step 1, aug_word_max=ten, include_upper_case=Real, include_lower_case=True, include_numeric=Real, min_char=cuatro, swap_mode='adjacent', spec_char='!#$%^&*()_+', stopwords=Not one, tokenizer=None, reverse_tokenizer=Not one, verbose=0, stopwords_regex=None, candidates=Nothing ) [source] ¶

• action (str) – You'll be able to philosophy is actually ‘insert', ‘substitute', ‘swap' and ‘delete'. When the value was ‘insert', a different sort of profile would be inserted in order to at random. In the event that well worth is actually ‘substitute', a random profile could be replaced modern profile at random. In the event the worthy of are ‘swap', adjacent emails contained in this attempt term is swapped randomly. When the really worth is actually ‘delete', character would-be eliminated randomly.
• aug_char_p (float) – Part of reputation (for every token) is enhanced.
• aug_char_minute (int) – Minimal number of character would-be enhanced.
• aug_char_maximum (int) – Limitation amount of character would be enhanced. In the event that Not one is enacted, number of enhancement try calculated through aup_char_p. If calculated come from aug_char_p was smaller than aug_char_max, will use computed originate from aup_char_p. Otherwise, playing with aug_maximum.
• aug_word_p (float) – Portion of term is augmented.
• aug_word_min (int) – Minimum number of term might be augmented.
• aug_word_maximum (int) – Limitation number of term would be augmented. In the event the Not one are passed, level of augmentation is actually determined through aup_word_p. When the determined result from aug_word_p are smaller than aug_word_maximum, use computed result from aug_word_p. Otherwise, playing with aug_maximum.
• include_upper_instance (bool) – If the True, upper-case character is utilized in augmented studies. When the ` candidates' well worth exists, which param is overlooked.