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View Code? Open in Web Editor NEWA PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
License: MIT License
A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
License: MIT License
simply doesn't work when set the bert as the pre trained model
Hi!
I followed the tutorial "Pretraining RoBERTa using your own data" in pytorch
https://github.com/pytorch/fairseq/blob/master/examples/roberta/README.pretraining.md
I want to use it to make an Anomaly detection model, can I load it instead of the others pre-trained models????
I am running on Linux Mint. I went through the README to try out the 20 newsgroups experiments.
I am encountering the following error:
File "/usr/lib/python3.6/urllib/request.py", line 650, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 301: Moved Permanently
The full error output I attached in a text file.
error.txt
你好:
我发现论文中,并没有测试正常类别由多类组成的情况。我测试之后发现表现很差,我尝试调整 KMeans 的 n_cluster 和正则化的 γ 值。请问这是缺陷还是我参数设置有问题。
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