我使用的是pystruct Python模块用于在讨论主题帖子分类结构化的学习问题，我已经绑训练时遇到的问题OneSlackSSVM与使用LinearChainCRF 。 我跟随从文档OCR例子 ，但似乎无法调用.fit()的方法SSVM。 下面是我得到的错误：
Traceback (most recent call last):
File "<ipython-input-47-da804d135818>", line 1, in <module>
ssvm.fit(X_train, y_train)
File "/Users/kylefth/anaconda/lib/python2.7/site-
packages/pystruct/learners/one_slack_ssvm.py", line 429, in fit
joint_feature_gt = self.model.batch_joint_feature(X, Y)
File "/Users/kylefth/anaconda/lib/python2.7/site-
packages/pystruct/models/base.py", line 40, in batch_joint_feature
joint_feature_ += self.joint_feature(x, y)
File "/Users/kylefth/anaconda/lib/python2.7/site-
packages/pystruct/models/graph_crf.py", line 197, in joint_feature
unary_marginals[gx, y] = 1
IndexError: index 7 is out of bounds for axis 1 with size 7
下面是我写的代码。 我已经累到结构中的数据作为文档实例，其中整体数据结构是dict与密钥data ， labels和folds 。
from pystruct.models import LinearChainCRF
from pystruct.learners import OneSlackSSVM
# Printing out keys of overall data structure
print threads.keys()
>>> ['folds', 'labels', 'data']
# Creating instances of models
crf = LinearChainCRF()
ssvm = OneSlackSSVM(model=crf)
# Splitting up data into training and test sets as in example
X, y, folds = threads['data'], threads['labels'], threads['folds']
X_train, X_test = X[folds == 1], X[folds != 1]
y_train, y_test = y[folds == 1], y[folds != 1]
# Print out dimensions of first element in data and labels
print X[0].shape, y[0].shape
>>> (8, 211), (8,)
# Fitting the ssvm model
ssvm.fit(X_train, y_train)
>>> see error above
试图拟合模型后直接，我得到上述错误。 的所有实例X_train ， X_test ， y_train和y_test有211列，所有的标签尺寸似乎与他们相应的培训和测试数据相匹配。 任何帮助将不胜感激。
