As a test, I've set "featureDimension = 70000;" in "Part2_LSTMAutoencoder.mlx" => the training process is performed but with very poor performances. I think it is not the right thing to do because samples of a time serie should not be considered as dimensions.
is there a vocabulary problem ?
How should these "nbTimeSerie" time series "nbSamplee" long from 3 sensor should be presented to the biLSTM ?