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我想培养出KD-树上的文档语料库的TFIDF但它给ValueError异常:设置一个数组元素与序列而训练KD树TFIDF
ValueError: setting an array element with a sequence.
代码和错误描述如下。有人可以帮我找出问题吗?
代码:
t0 = time.time()
count_vect = CountVectorizer()
X_train_counts = count_vect.fit_transform(X)
tfidf_transformer = TfidfTransformer()
X_train_tfidf = tfidf_transformer.fit_transform(X_train_counts)
t1 = time.time()
total = t1-t0
print "TF-IDF built:", total
#######################------------------------############################
t0 = time.time()
#nbrs = NearestNeighbors(n_neighbors=20, algorithm='kd_tree', metric='euclidean')
#nbrs.fit(X_train_tfidf)#,Y)
nbrs = KDTree(np.array(X_train_tfidf), leaf_size=100)
t1 = time.time()
total = t1-t0
print "KNN Trained:", total
#######################------------------------############################
这是错误:
TF-IDF built: 0.108999967575
Traceback (most recent call last):
File ".\tfidf_knn.py", line 48, in <module>
nbrs = KDTree(np.array(X_train_tfidf), leaf_size=100)
File "sklearn/neighbors/binary_tree.pxi", line 1055, in sklearn.neighbors.kd_tree.BinaryTree.__init__ (sklearn\neighbo
rs\kd_tree.c:8298)
File "C:\Anaconda2\lib\site-packages\numpy\core\numeric.py", line 474, in asarray
return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
感谢您的帮助!然而,它处理的是小数据,但是当它给出一个巨大的数组时---我得到一个内存,因为在我做了“toarray()”之后 - 矩阵不再是稀疏的了。 有没有办法给KDTree提供一个稀疏矩阵? – user3667569
嘿。看我的编辑。你不能在稀疏输入中使用kd_tree,但你可以改变方法为暴力。结果应该没有那么大的不同。您还需要将稀疏矩阵转换为与sklearn模型更兼容的另一种形式(csr_matrix)。 – kazAnova