In [18]:

    

from numpy import genfromtxt, savetxt
my_data = genfromtxt('Y_test_squeezene.csv', delimiter=',')


    

In [20]:

    

my_data[:,1]


    

    
Out[20]:





array([             nan,   8.86367576e-04,   1.00000000e+00, ...,
         9.99999881e-01,   1.02167988e-07,   9.99964833e-01])

In [21]:

    

my_data[:,1]=my_data[:,1].clip(min=0.02, max=0.98)


    

In [22]:

    

savetxt('Y_test_squeezenet-clipped.csv',my_data, fmt="%.f,%s", header=("id,label"))#,comments='')


    

In [2]:

    

%%timeit 
a=2


    

    




The slowest run took 72.78 times longer than the fastest. This could mean that an intermediate result is being cached.
10000000 loops, best of 3: 23 ns per loop

In [3]:

    

%%javascript
var kernel = IPython.notebook.kernel;
var nb = IPython.notebook;
var command = "theNotebook = " +  nb.base_url + nb.notebook_path + "'";
kernel.execute(command);


    

In [4]:

    

print(theNotebook)


    

    




Untitled

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