python-scikit-learnHow to inverse transformed data with PowerTransformer

from sklearn import preprocessing

pt = preprocessing.PowerTransformer()
data = [[1, 2], [3, 2], [4, 5]]
pt.fit(data)

transformed = pt.transform(data)
original = pt.inverse_transform(transformed)ctrl + cgithub

`from sklearn import` import module from scikit-learn	`.PowerTransformer(` create power transformation model
`.fit(` train transformation model	`.transform(` transform original data and return transformed data
`transformed` transformed data	`.inverse_transform(` inverse transformed data to original state
`original` will contain inversed transformed data (basically = original `data`)

Usage example

from sklearn import preprocessing
pt = preprocessing.PowerTransformer()
data = [[1, 2], [3, 2], [4, 5]]
pt.fit(data)

trasnformed = pt.transform(data)
print(pt.inverse_transform(trasnformed))

output

[[1. 2.]
 [3. 2.]
 [4. 5.]]

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python-scikit-learnHow to inverse transformed data with PowerTransformer

Usage example

output

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