Hi all, I have several small datasets, each is composed by two classes. The posterior probabilities of different datasets are predicted by different models, which are constructed either by different models having the attribute "predict_proba" or the same algorithm trained by different training data. I wonder whether there exists a method to concatenate these probabilities as a single array so that I can do some inferences from much larger number of probabilities.
Thanks in advance. Best regards, Elkan
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