Implement tweedie and gaussian tests

Author: maurever

h2o-algos/src/main/java/hex/glm/GLM.java

@@ -3542,10 +3542,10 @@ private void scorePostProcessingRestrictedModelROEnabled(Frame train, long t1) {
         if ((mtrain != null) && (_valid != null)) {
           _scoringHistoryRemoveOffsetEnabled.addIterationScore(true, true, _state._iter, _state.likelihood(),
                   _state.objective(), _state.deviance(), ((GLMMetrics) _model._output._validation_metrics_restricted_model_ro).residual_deviance(),
-                  mtrain._nobs, _model._output._validation_metrics_restricted_model_ro._nobs, _state.lambda(), _state.alpha());
+                  _model._output._training_metrics_restricted_model_ro._nobs, _model._output._validation_metrics_restricted_model_ro._nobs, _state.lambda(), _state.alpha());
         } else { // only doing training deviance
           _scoringHistoryRemoveOffsetEnabled.addIterationScore(true, false, _state._iter, _state.likelihood(),
-                  _state.objective(), _state.deviance(), Double.NaN, mtrain._nobs, 1, _state.lambda(),
+                  _state.objective(), _state.deviance(), Double.NaN, _model._output._training_metrics_restricted_model_ro._nobs, 1, _state.lambda(),
                   _state.alpha());
         }
       }