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This is incredible. It works really well with Isotonic regression to add monotonic constraints to the EBM. The one place is doesn't work as expected is with the positivity constraint `ymin=0`. This re…
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Amazing stuff. From what I can tell, you use simple decision trees as your [base estimator](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html#sklearn.ensemble.Ba…
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Some people say it is important for anonlink to output similarity scores as part of a linkage solution. This makes sense since we are not equally certain about all matches. Outputting similarity score…
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Bayesian, Deep ensembling, Calibration, dropout, flows?
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# Matt Kaye - Balancing Classes in Classification Problems
Matt Kaye’s personal website.
[https://matthewrkaye.com/posts/2023-03-25-balancing-classes/balancing-classes.html](https://matthewrkaye.com…
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Having trained a re-calibration model using this library it is not obvious how to actually extract the calibrated uncertainties for the data points. As well as being generally useful it also means tha…
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> Machine learning focuses on prediction, based on known properties learned from the training data.
- In addition to retail, in finance banks analyze their past data to build models to use in credit ap…
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I have one numeric IV and I used -1 for this IV in the vector for regMono. I then plotted the DV's profile for different IV values keeping everything else fixed. Unfortunately, the values do not alway…
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# Goal
Peers attempt to relay contracts that they’re likely to receive requests for. Relaying means that the peer subscribes to contract updates and can then respond to requests for that contract i…