fork download
copy 
  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 0.45s 59568KB
comments (?)
stdin
copy 
mushroom
stdout
copy 
(150, 4)
https://ideone.com/I7NFIB
language:
Python (cpython 2.7.16)
created:
6 days ago
visibility:
public

Share or Embed source code

Discover > Sphere Engine API

The brand new service which powers Ideone!

Discover > IDE Widget

Widget for compiling and running the source code in a web browser!