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So far the prediction of upliftTreeClassifier and upliftRandomForestClassifier is not repeatable, which is probably due to the missing of random_state. Could someone add this as a parameter, please?
Thank you.
The text was updated successfully, but these errors were encountered:
You're right, thanks for bringing this up. It's currently not a reproducible result for the UpliftTree, #275 was a previous attempt by @RuslanTs to address the issue, as a reference
@paullo0106 I think we need to use randomstate rather than np.random.seed(42). I think there's this issue raised that np.random.seed is not thread-safe. I think that should be the issue. Let me investigate this problem and try to fix it
So far the prediction of upliftTreeClassifier and upliftRandomForestClassifier is not repeatable, which is probably due to the missing of random_state. Could someone add this as a parameter, please?
Thank you.
The text was updated successfully, but these errors were encountered: