scikit learn - Python ROC curve from 2 discrete histogram distributions -

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i'm using python (numpy) , want plot roc curve given 1d noise histogram , 1d histogram signal+noise distribution. aware various libraries scikit-learn can generate roc curves, use supervised machine learning approach based on predicted vs. actual labels. instead have 2 numpy arrays: 1 discrete probability density function (histogram) of background noise distribution, , histogram signal+noise distribution. i'm not doing machine learning, instead want make roc curve 2 histograms. can scikit-learn or python library this?

thanks


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