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.

Topic h2o glm python

Category Data Science

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