jatinchowdhury18
commented
2 years ago At the moment RTNeural only supports running inference on neural networks models that have already been trained. To my knowledge Dropout layers are typically only used during the training process, and not during inference as well.
I want use it for forecast, and custome the struct like: model = Sequential() model.add(LSTM(units=50, return_sequences=True, input_shape=(forecast_features_set.shape[1], 1))) model.add(Dropout(0.2)) model.add(LSTM(units=50, return_sequences=True)) model.add(Dropout(0.2)) model.add(LSTM(units=50, return_sequences=True)) model.add(Dropout(0.2)) model.add(LSTM(units=50)) model.add(Dropout(0.2)) model.add(Dense(units = 1)) model.compile(optimizer = 'adam', loss = 'mean_squared_error')