train = readTrain()
train_Aug = augFeatures(train)
train_norm = normalize(train_Aug)
# change the last day and next day
X_train, Y_train = buildTrain(train_norm, 5, 5)
X_train, Y_train = shuffle(X_train, Y_train)
X_train, Y_train, X_val, Y_val = splitData(X_train, Y_train, 0.1)

model = buildManyToManyModel(X_train.shape)
callback = EarlyStopping(monitor="loss", patience=10, verbose=1, mode="auto")
model.fit(X_train, Y_train, epochs=1000, batch_size=128, validation_data=(X_val, Y_val), callbacks=[callback])