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data-augmentation

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jxmorris12
jxmorris12 commented Sep 1, 2020

Output when I specify an attack without a model:

(torch) jxmorris12 12:50 PM > textattack attack --recipe bae
Traceback (most recent call last):
...
  File "/p/qdata/jm8wx/research/text_attacks/textattack/textattack/commands/attack/attack_args_helpers.py", line 343, in parse_model_from_args
    raise ValueError(f"Error: unsupported TextAttack model {args.model}")
ValueError: Error: un

自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment, data enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用

  • Updated Oct 26, 2020
  • Python
romainVala
romainVala commented Nov 3, 2020

🚀 Feature
I notice that by default you choose the minimum as default_pad_value for elastic deformation
whereas the default method is otsu for randomAffine

Motivation
it seems to me more natural to take the min, as noise is expected in the image border (at least for brain, in 5 of the 6 border slices )
no ?
and it makes more sense to have the same default for both transform

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