from sklearn.preprocessing import RobustScaler import numpy as np data = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) scaler = RobustScaler() scaled_data = scaler.fit_transform(data) print(scaled_data)
[[-1. -1. -1. ] [ 0. 0. 0. ] [ 1. 1. 1. ]]This output shows the scaled dataset with median expressed as 0 and the quantile range as 1. In conclusion, `RobustScaler` is a class used for scaling data in order to make it suitable for machine learning models. It is a part of the `sklearn.preprocessing` package library in Python.