If the target values \(y\) are counts (non-negative integer valued) or The choice of the distribution depends on the problem at hand: Mass at \(Y=0\) for the Poisson distribution and the Tweedie (power=1.5)ĭistribution, but not for the Gamma distribution which has a strictly PDF of a random variable Y following Poisson, Tweedie (power=1.5) and Gammaĭistributions with different mean values ( \(\mu\)). The Probability Density Functions (PDF) of these distributions are illustrated This classifier first converts binary targets to The Ridge regressor has a classifier variant: from sklearn import linear_model > reg = linear_model.
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