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mistakes with the "retrain/train.py" code

Open TomatoChocolate12 opened this issue 11 months ago • 1 comments

The labels that are used for training the model do not correspond to the correct values. The last column of the featurized tensor is being used instead and this corresponds to interatomic interactions (features that are extracted basically). The labels dataframe labels_df which is also already loaded, should be used instead.

TomatoChocolate12 avatar Jan 11 '25 14:01 TomatoChocolate12

You can input the features and labels as two separate files, which might be a simpler approach.

zchwang avatar Jan 14 '25 07:01 zchwang