Useful for RNN such as LSTM or GRU. All tests from test_variable_dropout.R pass
It implements permutations for the 2nd and/or 3rd dimensions (eg. for a time series, permute cases and time steps for the same var instead of permuting cases only, or considering the importance of each combination of time step and feature)
I don't know if it's OK to save an example model for testing or if it's ok to run a keras model with dummy data on tests. Tell me what do you prefer
Useful for RNN such as LSTM or GRU. All tests from test_variable_dropout.R pass
It implements permutations for the 2nd and/or 3rd dimensions (eg. for a time series, permute cases and time steps for the same var instead of permuting cases only, or considering the importance of each combination of time step and feature)
I don't know if it's OK to save an example model for testing or if it's ok to run a keras model with dummy data on tests. Tell me what do you prefer