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class nlpaug.augmenter.char.random. RandomChare=’RandomChar_Aug’, aug_char_min=1, aug_char_max=10, aug_char_p=0.step three, aug_word_p=0.step three, aug_word_min=1, aug_word_max=ten, include_upper_case=Correct, include_lower_case=Genuine, include_numeric=True, min_char=4, swap_mode=’adjacent’, spec_char=’!#$%^&*()_+’, stopwords=Not one, tokenizer=None, reverse_tokenizer=None, verbose=0, stopwords_regex=Not one, candidates=Nothing ) [source] ¶

• action (str) – Possible opinions try ‘insert’, ‘substitute’, ‘swap’ and ‘delete’. When the worthy of was ‘insert’, yet another reputation is inserted in order to randomly. If well worth is ‘substitute’, an arbitrary reputation is replaced completely new character at random. When the worth is ‘swap’, adjacent letters contained in this attempt term might be switched at random. In the event that worthy of try ‘delete’, character is removed randomly.
• aug_char_p (float) – Part of character (per token) could well be augmented.
• aug_char_min (int) – Minimum amount of profile might be augmented.
• aug_char_max (int) – Limitation level of character was enhanced. If Nothing was passed, amount of enlargement was computed thru aup_char_p. If the computed result from aug_char_p are smaller compared to aug_char_maximum, uses calculated result from aup_char_p. If not, using aug_maximum.
• aug_word_p (float) – Percentage of word might be augmented.
• aug_word_min (int) – Minimal level of phrase could be enhanced.

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• aug_word_max (int) – Restrict number of term will be augmented. In the event the Nothing is actually introduced, quantity of enhancement was determined via aup_word_p. If the computed originate from aug_word_p was smaller compared to aug_word_maximum, uses determined come from aug_word_p. If you don’t, playing with aug_max.
• include_upper_instance (bool) – In the event that Genuine, upper case character could be utilized in enhanced investigation. If the ` candidates’ value emerges, it param would be neglected.