predictedmodel.py

#Plot the data
train = data[:training_data_len]
valid = data[training_data_len:]
valid["Predictions"] = predictions
#Visualize the data
plt.figure(figsize=(16,8))
plt.title("Model")
plt.xlabel("Data", fontsize=18)
plt.ylabel("Close Price USD ($)", fontsize=18)
plt.plot(train["Close"])
plt.plot(valid[["Close", "Predictions"]])
plt.legend(["Train", "Val", "Predictions"], loc="lower right")
plt.show()