In [2]:

    

import logging
import gensim

from sklearn.datasets import fetch_rcv1
from sklearn.multiclass import OneVsRestClassifier
from sklearn.metrics import f1_score, precision_score, recall_score
from sklearn.pipeline import Pipeline
from sklearn import svm

logging.basicConfig()
rcv1 = fetch_rcv1()


    

In [3]:

    

rcv1.data[0]


    

    
Out[3]:





<1x47236 sparse matrix of type '<type 'numpy.float64'>'
	with 138 stored elements in Compressed Sparse Row format>