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  1. # Normalize the data attributes for the Iris dataset. 
  2. from sklearn.datasets import load_iris 
  3. from sklearn import preprocessing 
  4. # load the iris dataset 
  5. iris = load_iris() 
  6. print(iris.data.shape) 
  7.  
  8. # separate the data from the target attributes 
  9.  
  10. X = iris.data 
  11. y = iris.target 
  12. # normalize the data attributes 
  13. normalized_X = preprocessing.normalize(X)
Success #stdin #stdout #stderr 0.29s 40512KB
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mushroom
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Standard output is empty
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Error: unexpected symbol in "from sklearn.datasets"
Execution halted
https://ideone.com/x3m5Tl
language:
R (R 3.5.2)
created:
6 days ago
visibility:
public

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