Using quantile transformer example #1842

Onelinerhub · Dec 16, 2022 · 6e628f2 · 6e628f2
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 # Using quantile transformer example
 
 ```python
 from sklearn import preprocessing
 
 qt = preprocessing.QuantileTransformer(n_quantiles=3)
 data = [[1, 2], [3, 2], [4, 5]]
 qt.fit(data)
 
 transformed = qt.transform(data)
 ```
 
 - `from sklearn import` - import module from [lib:scikit-learn](https://onelinerhub.com/python-scikit-learn/how-to-install-scikit-learn-using-pip)
 - `.QuantileTransformer(` - creates [quantile transformer](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html) model
 - `n_quantiles` - number of quantiles to be computed
 - `.fit(` - train transformation model
 - `.transform(` - transform original data and return transformed data
 
 ## Example: 
 ```python
 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)
 ```
 ```
 [[0.  0. ]
  [0.5 0. ]
  [1.  1. ]]
 
 ```