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I just follow the author's advice to train my own datasets,but i have a problem during the training as following:
Training...
Epoch Time(sec) Loss_train AUC_dev AUC_test Precision_test Recall_test
C:\Anaconda3\envs\my-rdkit-env\lib\site-packages\sklearn\metrics_classification.py:1221: UndefinedMetricWarning: Precision is ill-defined and being set t
o 0.0 due to no predicted samples. Use zero_division parameter to control this behavior.
_warn_prf(average, modifier, msg_start, len(result))
C:\Anaconda3\envs\my-rdkit-env\lib\site-packages\sklearn\metrics_classification.py:1221: UndefinedMetricWarning: Precision is ill-defined and being set t
o 0.0 due to no predicted samples. Use zero_division parameter to control this behavior.
_warn_prf(average, modifier, msg_start, len(result))
1 18.5711581 2328.3497102856636 0.4819866010391031 0.5351374101374101 0.0 0.0
so how to deal with this problem?Thanks!
The text was updated successfully, but these errors were encountered:
I just follow the author's advice to train my own datasets,but i have a problem during the training as following:
Training...
Epoch Time(sec) Loss_train AUC_dev AUC_test Precision_test Recall_test
C:\Anaconda3\envs\my-rdkit-env\lib\site-packages\sklearn\metrics_classification.py:1221: UndefinedMetricWarning: Precision is ill-defined and being set t
o 0.0 due to no predicted samples. Use
zero_division
parameter to control this behavior._warn_prf(average, modifier, msg_start, len(result))
C:\Anaconda3\envs\my-rdkit-env\lib\site-packages\sklearn\metrics_classification.py:1221: UndefinedMetricWarning: Precision is ill-defined and being set t
o 0.0 due to no predicted samples. Use
zero_division
parameter to control this behavior._warn_prf(average, modifier, msg_start, len(result))
1 18.5711581 2328.3497102856636 0.4819866010391031 0.5351374101374101 0.0 0.0
so how to deal with this problem?Thanks!
The text was updated successfully, but these errors were encountered: