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Allow model built earlier to be used to calculate full loglikelihood and AIC for GLM #15809
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* GH-15809: implement AIC and Loglikelihood calculation for GenericModel * GH-15809: add AIC and Loglikelihood to ModelMetricsBinomial * GH-15809: implement AIC and Loglikelihood calculations for ModelMetricsBinomial * GH-15809: add AIC and Loglikelihood to output metrics * GH-15809: update test to check AIC and Loglikelihood calculation for loaded model * GH-15809: correct betas source * GH-15809: implement AIC and loglikelihood calculation for multinomial generic glm * GH-15809: minor aic retrieval fix * GH-15809: enable loglikelihood and AIC calculation for multinomial family * GH-15809: remove prints * GH-15809: refactor * GH-15809: add new parameter to the constructor, and add new constructor * GH-15809: add dispersion_estimated parameter to GLM mojo * GH-15809: update and fix tests * GH-15809: fix metrics exposure in python * GH-15809: fix parameters * GH-15809: add null check * GH-15809: fix tests * GH-15809: fix R tests * GH-15809: fix reading new parameter in MOJO load * GH-15809: fix writing new parameter in MOJO load * GH-15809: fix value * GH-15809: fix comments * GH-15809: fix printing metrics * GH-15809: remove commented code * GH-15809: assign NaN instead of 0 as placeholder value for Loglikelihood * GH-15809: default dispersion estimation set to 1 * GH-15809: clean test * GH-15809: fix aic check in test * GH-15809: additionally fix aic check in test * GH-15809: additionally fix aic check in test * GH-15809: fit test - add default parameters * Fixed test discrepancies. * only return AIC and loglikelihood for glm models * fixed AIC problem when model is not glm * Incorporate Tomas F review. * replace m != null && m.getClass().toString().contains(generic) with score4Generic --------- Co-authored-by: syzonyuliia <[email protected]> Co-authored-by: wendycwong <[email protected]>
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here is the support ticket: https://support.h2o.ai/a/tickets/106503
Basically, a customer would like to be able to calculate the full AIC and log likelihood function after a model has been built earlier perhaps using an earlier version of H2O-3.
Here is a proposal:
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