Plotting Deviance Residuals and Leverage of GLM Model Using H2O
Is it possible to plot the deviance residuals and leverage (e.g. cook's distance) of every observation fitted in a GLM model using H2O?
From H2O's documentation, seems it only calculates the sum of all deviance residuals, but cannot output the residuals for each observation.
Category Data Science