python-scikit-learnUsing quantile transformer example

from sklearn import preprocessing

qt = preprocessing.QuantileTransformer(n_quantiles=3)
data = [[1, 2], [3, 2], [4, 5]]
qt.fit(data)

transformed = qt.transform(data)ctrl + cgithub

`from sklearn import` import module from scikit-learn	`.QuantileTransformer(` creates quantile transformer model
`n_quantiles` number of quantiles to be computed	`.fit(` train transformation model
`.transform(` transform original data and return transformed data

Usage example

from sklearn import preprocessing

qt = preprocessing.QuantileTransformer(n_quantiles=3)
data = [[1, 2], [3, 2], [4, 5]]
qt.fit(data)

transformed = qt.transform(data)
print(transformed)

output

[[0.  0. ]
 [0.5 0. ]
 [1.  1. ]]

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