In [1]:

    

pylab inline


    

    




  File "<ipython-input-1-b794e5809f34>", line 1
    pylab inline
               ^
SyntaxError: invalid syntax

In [2]:

    

%pylab inline


    

    




Populating the interactive namespace from numpy and matplotlib

In [4]:

    

import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
import sklearn 
import IPython
import platform 

print ('python version :', platform.python_version())
print ('Ipython version :', IPython.__version__)
print ('numpy verions :', np.__version__)
print ('scikit-learn version:', sklearn.__version__)
print ('matplotlib version:', matplotlib.__version__)


    

    




('python version :', '2.7.11')
('Ipython version :', '2.4.1')
('numpy verions :', '1.11.2')
('scikit-learn version:', '0.17.1')
('matplotlib version:', '1.5.3')

In [ ]:

    




    

In [6]:

    

from sklearn import datasets
iris = datasets.load_iris()
X_iris = iris.data
Y_iris = iris.target


    

In [7]:

    

print ( X_iris.shape, Y_iris.shape)
print ('Feature names :{0}'.format(iris.feature_names))
print ('Target class : {0}'.format(iris.target_names))
print ('First Instance feature : {0}'.format(X_iris[0]))


    

    




((150, 4), (150,))
Feature names :['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']
Target class : ['setosa' 'versicolor' 'virginica']
First Instance feature : [ 5.1  3.5  1.4  0.2]