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inputs = dataset_total[len(dataset_total) - len(dataset_test) - 60: ].values
inputs = inputs.reshape(-1,1)
inputs = sc.transform(inputs)
X_test = []
for r in range(61+p, 62+p):
X_test.append(inputs[r-60:r, 0])
X_test = np.array(X_test)
X_test = np.reshape(X_test, (X_test.shape[0], X_test.shape[1], 1))
predicted_stock_price = regressor.predict(X_test)
predicted_stock_price = sc.inverse_transform(predicted_stock_price)
df = pd.DataFrame(predicted_stock_price)
df.columns = ['Open']
print (predicted_stock_price) |
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