GLRM - Access Performance Metrics

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Luisa Nogueira

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Apr 6, 2021, 1:17:10 PMApr 6
to H2O Open Source Scalable Machine Learning - h2ostream
Hi everyone,

I'm using a generalized low-rank estimator to infer missing values in a data set regarding sensor readings. I'm using H2O to create and train the model:

glrm = H2OGeneralizedLowRankEstimator(k=10,
                                      loss="quadratic",
                                      gamma_x=0.5,
                                      gamma_y=0.5,
                                      max_iterations=2000,
                                      recover_svd=True,
                                      init="SVD",
                                      transform="standardize")

glrm.train(training_frame=train)

After the model is trained, the information provided regarding the performance metrics (MSE and RMSE) both return NaN. Does anybody know why? Firstly I thought it could be related to NaN entries in the data set, but I have already tried with one that is complete, and the same problem occurs.
I need this information to perform a grid search over some of the model parameters to select the best one.

Thank you very much, 
Luísa Nogueira

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