# How to predict past test set on time series data using LSTM

I'm trying to do a regression on some inventory amounts with the following model using Keras:

model = Sequential()
X_train_timeseries.shape[2]), dropout=0.0,
recurrent_dropout=0.0, stateful=True,
kernel_initializer='random_uniform'))