Retrieve loss for each epoch in Python H2O

I would like to plot a loss vs epoch graph from a deep quantile regression model in H2O. I’m using the H2ODeepLearningEstimator but can’t seem to find a way to retrieve the loss like in Keras.

https://machinelearningmastery.com/display-deep-learning-model-training-history-in-keras/

Could somebody please point me in the right direction?

Answer

I believe you are looking for the learning curve plot. In h2o you can retrieve the “scoring history” data using model.scoring_history().

You can influence the frequency of scoring as well as amount of data used for the loss estimate using parameters prefixed with score_, e.g., score_interval, score_validation_samples etc.