本文整理汇总了Python中sklearn.preprocessing.Normalizer.dot方法的典型用法代码示例。如果您正苦于以下问题：Python Normalizer.dot方法的具体用法？Python Normalizer.dot怎么用？Python Normalizer.dot使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.preprocessing.Normalizer的用法示例。
在下文中一共展示了Normalizer.dot方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: DictVectorizer
# 需要导入模块: from sklearn.preprocessing import Normalizer [as 别名]
# 或者: from sklearn.preprocessing.Normalizer import dot [as 别名]
print 'Creating document term matrix'
vec = DictVectorizer()
tfidf = TfidfTransformer()
X = vec.fit_transform(vectors)
X = tfidf.fit_transform(X)
print 'Shape of document term matrix: ' + str(X.shape)
k = 100
print 'Performing SVD with k = %d' % (k)
(U, S, V) = sparsesvd.sparsesvd(X.T.tocsc(), k)
print 'Creating distance matrix'
Xn = Normalizer().fit_transform(V.T)
D = 1.0 + (-Xn.dot(Xn.T))
numpy.fill_diagonal(D, 0.0)
print 'Dumping all you need for extrapolation to: %s' % (OUTPUTDIR)
pickle.dump(X, file('%s/X.pickl' % (OUTPUTDIR), 'w'), protocol=2)
pickle.dump(U, file('%s/U.pickl' % (OUTPUTDIR), 'w'), protocol=2)
pickle.dump(S, file('%s/S.pickl' % (OUTPUTDIR), 'w'), protocol=2)
pickle.dump(V, file('%s/V.pickl' % (OUTPUTDIR), 'w'), protocol=2)
pickle.dump(squareform(D), file('%s/D.pickl' % (OUTPUTDIR), 'w'), protocol=2)
pickle.dump(list(funcIds), file('%s/funcIds.pickl' % (OUTPUTDIR), 'w'), protocol=2)
pickle.dump(nameToId, file('%s/nameToId.pickl' % (OUTPUTDIR), 'w'), protocol = 2)