python-scikit-learnPower transform example
from sklearn import preprocessing
pt = preprocessing.PowerTransformer()
data = [[1, 2], [3, 2], [4, 5]]
pt.fit(data)
transformed = pt.transform(data)ctrl + cfrom sklearn importimport module from scikit-learn | .PowerTransformer(create power transformation model |
.fit(train transformation model | .transform(transform original data and return transformed data |
Usage example
from sklearn import preprocessing
pt = preprocessing.PowerTransformer()
data = [[1, 2], [3, 2], [4, 5]]
pt.fit(data)
print(pt.lambdas_)
print(pt.transform(data))output
[ 1.38668178 -3.10053309]
[[-1.31616039 -0.70710678]
[ 0.20998268 -0.70710678]
[ 1.1061777 1.41421356]]
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