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| def prediction_plot(testY, test_predict,look_back): | |
| len_prediction=[x for x in range(len(testY)-look_back)] | |
| plt.plot(len_prediction, testY[:l], marker='.', label="actual") | |
| plt.plot(len_prediction, test_predict[:l], 'r', label="prediction") | |
| plt.tight_layout() | |
| sns.despine(top=True) | |
| plt.subplots_adjust(left=0.07) | |
| plt.ylabel('Ads Daily Spend', size=15) | |
| plt.xlabel('Time step', size=15) | |
| plt.legend(fontsize=15) | |
| plt.show() |
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