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AdjustedScaler moved to library AdjDataTools
This scaler scales the data to a valid range to eliminate potential
outliers. The range of significant values is calculated using the
medcouple function (MC) according to the principle proposed by
M. Huberta and E. Vandervierenb in "An adjusted boxplot for skewed
distributions" Computational Statistics & Data Analysis, vol. 52,
pp. 5186-5201, August 2008.
The structure and usage is similar to the *Scaler classes from
sklearn.preprocessing.
The .fit() method is used to train the scaler.
For scaling - the .transform() method.
For the reverse transformation - the .inverse_transform() method.