// evaluate the model
// this will be the same as the final epoch results
// it is repeated here to be consistent with the sklearn rbm example
metrics = ["ReconstructionError", "EnergyDistance", "EnergyGap", "EnergyZscore"]
performance = fit.ProgressMonitor(0, data, metrics=metrics)
util.show_metrics(rbm, performance)
util.show_reconstructions(rbm, data.get("validate"), fit, show_plot)
After Change
// evaluate the model
// this will be the same as the final epoch results
// it is repeated here to be consistent with the sklearn rbm example
metrics = [M.ReconstructionError(), M.EnergyDistance(), M.EnergyGap(), M.EnergyZscore()]
performance = fit.ProgressMonitor(0, data, metrics=metrics)
util.show_metrics(rbm, performance)
util.show_reconstructions(rbm, data.get("validate"), fit, show_plot)
