Created
October 8, 2021 03:22
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# Pass the test data to the predict function and store the values into 'y_predict' | |
y_predict = cls.predict(ss1.transform(X.iloc[split:])) | |
# Initiate a column by name, 'Pred_Signal' and assign 0 to it | |
df['Pred_Signal'] = 0 |
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