H2o – Deep learning model

Hi guys, I am facing an issue trying to run a neural network model. I’m using the H2o package in this case. (BTW, I’m totally new to deep learning and so my questions might be trivial). So, I ran this model first: h2o.deeplearning(x = 3:5498, # column numbers for predictors y = 1, # column number for label training_frame = train_h2o, # data in H2O format activation = “RectifierWithDropout”, # algorithm input_dropout_ratio = 0.2, # % of inputs dropout hidden_dropout_ratios = c(0.5,0.5), # % for nodes dropout distribution = “multinomial”, balance_classes = TRUE, hidden = c(100,100), # two layers of 100 nodes momentum_stable = 0.99, sparse = TRUE, variable_importances = TRUE, nfolds = 5, nesterov_accelerated_gradient = TRUE, # use it for speed epochs = 200) # no. of epochs It…


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