<p>我目前正在使用NLTK的naivebayes分类器，但是我还想尝试Max-Ent分类器。从文档中看来，它应该采用与naivebayes相同的功能集格式，但是由于某些原因，我在尝试时遇到了这个错误：</p>
<pre><code> File "/usr/lib/python2.7/site-packages/nltk/classify/maxent.py", line 323, in train
gaussian_prior_sigma, **cutoffs)
File "/usr/lib/python2.7/site-packages/nltk/classify/maxent.py", line 1453, in train_maxent_classifier_with_scipy
model.fit(algorithm=algorithm)
File "/usr/lib64/python2.7/site-packages/scipy/maxentropy/maxentropy.py", line 1026, in fit
return model.fit(self, self.K, algorithm)
File "/usr/lib64/python2.7/site-packages/scipy/maxentropy/maxentropy.py", line 226, in fit
callback=callback)
File "/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py", line 636, in fmin_cg
gfk = myfprime(x0)
File "/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py", line 176, in function_wrapper
return function(x, *args)
File "/usr/lib64/python2.7/site-packages/scipy/maxentropy/maxentropy.py", line 420, in grad
G = self.expectations() - self.K
ValueError: shape mismatch: objects cannot be broadcast to a single shape
</code></pre>
<p>我不知道这意味着什么，但我使用的输入与运行naivebayes时的输入完全相同，这是可行的（训练数据，以成对列表表示，第一个成员是featureset，第二个是分类标签）。有什么想法吗？在</p>
<p>谢谢！在</p>
