c_AMPs-prediction
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mayuefine
您好，我按照c_AMPs-Prediction.md里BERT Model部分的代码载入已经精调好的bert模型时报错，在sklearn自带的base.py get_params(self, deep) 函数部分： AttributeError: 'BertClassifier' object has no attribute 'bert_model' 请问这个bug怎么修复？
马博士您好， 我在github下载的att和lstm的md5值分别是： 40924149a8a9d929680ebaf6c6e486cb att.h5 681ffdfdcdab0c806b20fcd9277841de lstm.h5 但是ReadME中说att和lstm的md5值应该是： att.h5 for Attention model, md5: af736531da1dcc5b3381a6071f71fb08 lstm.h5 for LSTM model, md5: 13a484aeef0eb3de129368d1e939c0b8 请问这里下载的模型可以直接使用吗？感谢您的解答！
马博士您好 @mayuefine，我在使用Attention模型时报错：Traceback (most recent call last): File "/media/hjg-r940/user/shanxinxin/antipep/test/c_AMPs-prediction-master/script/prediction_attention.py", line 9, in model = load_model('../Models/att.h5', custom_objects={'Attention_layer': Attention_layer}) File "/media/hjg-r940/user/shanxinxin/software/anaconda3/envs/tensorflow/lib/python3.10/site-packages/keras/utils/traceback_utils.py", line 70, in error_handler raise e.with_traceback(filtered_tb) from None File "/media/hjg-r940/user/shanxinxin/antipep/test/c_AMPs-prediction-master/script/Attention.py", line 25,...
Hi~ when I download the att.h5 and last.h5 in the Models, I find the md5 value is always:40924149a8a9d929680ebaf6c6e486cb for the att.h5, which is different from what's in the Readme.txt file
Hi @mayuefine , 想问下您用paladin软件计算AMP丰度时是否设定了比对参数，想知道您使用的具体参数呢（因为用默认参数的话，短的AMP没有比对结果），求告知，感谢！
# Patching CVE-2007-4559 Hi, we are security researchers from the Advanced Research Center at [Trellix](https://www.trellix.com). We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a...
