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I have a question regarding dropout and how it is applied. In the previous non-refactored version of AutoPyTorch there was a dropout_shape hyperparameter, which does not seem to be there anymore. Is now dropout applied with the same rate at every layer and if not, does it follow the network shape then ?
The text was updated successfully, but these errors were encountered:
Hey, as far as I can tell, dropout_shape was not a hyperparameter but a parameter that depended on the network shape in the master branch. Similarly, it has exactly the same application in 'refactor_development'. You can find it here and for reference, it is implemented using this
I have a question regarding dropout and how it is applied. In the previous non-refactored version of AutoPyTorch there was a
dropout_shape
hyperparameter, which does not seem to be there anymore. Is now dropout applied with the same rate at every layer and if not, does it follow the network shape then ?The text was updated successfully, but these errors were encountered: