I\'m using sci-kit learn linear regression algorithm. While scaling Y target feature with:
Ys = scaler.fit_transform(Y)
I got
The solution is indeed to do:
Y.values.reshape(-1,1)
This extracts a numpy array with the values of your pandas Series object and then reshapes it to a 2D array.
The reason you need to do this is that pandas Series objects are by design one dimensional. Another solution if you would like to stay within the pandas library would be to convert the Series to a DataFrame which would then be 2D:
Y = pd.Series([1,2,3,1,2,3,4,32,2,3,42,3])
scaler = StandardScaler()
Ys = scaler.fit_transform(pd.DataFrame(Y))