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At present [log loss](https://scikit-learn.org/stable/modules/model_evaluation.html#log-loss) is available as an evaluation metric for classiferiers, but I wonder if there is also interest in includin…
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Dear @autoliuweijie ,
Thank you so much for your innovative study. I was wondering that if there is any chances that I change BERT to BERT-like models (etc:RoBERTa-chinese ,MacBERT). Is it possible…
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Thank you for sharing these very informative notebooks.
01_graph_feature_extraction.ipynb is of great interest to me and it is very well written and presented.
How would one go about applying these…
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Shouldn't the `check_estimator` check if you pass a non binary problem for a binary classifier? I mean, if you have an untagged binary estimator that raises an exception the `check_estimator` will fai…
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## Steps to Reproduce
1. Use a Google Pixel or any other device that supports [Deep Press events](https://developer.android.com/reference/android/view/MotionEvent#CLASSIFICATION_DEEP_PRESS)
1. Cre…
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How is a classification problem, as discussed in the data mining paper, different from a clustering problem?
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1. I encountered torch.cuda.OutOfMemoryError: CUDA out of memory error, but I used 8 3090 graphics cards and did not encounter it when evaluating the lvis dataset, I tried to reduce the batch_size to …
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Thanks a lot for providing FS-mol. Very valuable to the community!
I am bit confused about the nature of the numerical_values in the FS-Mol dataset. The paper says, those are IC50/EC50 values:
> …
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It's cumbersome that we don't provide an argument that people can use to manually specify a threshold in the predict() function. If the user knows what threshold they want to use, then we should make…
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I am comparing the computational performance of approximation method vs. exact method over a few benchmark datasets. It is my impression that we should expect less computation using approximation meth…