Open shubh12et1062 opened 2 years ago
It's not possible to obtain probabilities because the methods are not probabilistic. It should be theoretically possible to produce top-N rankings, but it's not currently implemented.
Its possible through decision_function() to get scores of distributions across each arms. But I have observed that the mean score distribution across arms have very similar value.
I want to use linUCB (online policy) to my data. In my case, is decision_function()'s scores mean just the expected value of fitted model (not consider confidence bound)?
@shyun46 It includes the confidence bound.
Is it possible to get probabilities and topN arms in other methods like DoublyRobust and OffsetTree apart from Bootstrapped TS