Deep-Embedded-Validation
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Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)
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Thanks for your great work. I use the model in Tranfer-Learning-Library and the method in DEV to search the best learning rate. When I select the hyperparameters, the validation set...
There doesn't seem to be any bound on the value returned by ```get_dev_risk```. For example: ```python N = 1000 weight = np.ones((N,1)) error = np.random.rand(N,1) get_dev_risk(weight, error) # outputs nan...