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 + cfrom sklearn importimport module from scikit-learn | .QuantileTransformer(creates quantile transformer model |
n_quantilesnumber 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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