在 PyStruct 中拟合 SSVM 模型时出现 IndexError

Question

我正在使用pystruct Python 模块来解决在讨论线程中对帖子进行分类的结构化学习问题，并且在训练OneSlackSSVM 以与LinearChainCRF 一起使用时遇到了问题。我正在关注OCR example from the docs，但似乎无法在 SSVM 上调用.fit() 方法。这是我得到的错误：

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。我已经厌倦了像文档示例中那样构建数据，其中整体数据结构是 dict，其中键为 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

在尝试拟合模型后直接出现上述错误。 X_train、X_test、y_train 和 y_test 的所有实例都有 211 列，并且所有标签维度似乎都与其对应的训练和测试数据相匹配。任何帮助将不胜感激。

Answer 1

我认为你所做的一切都是正确的，这是https://github.com/pystruct/pystruct/issues/114。 您的标签 y 需要从 0 开始到 n_labels。我想你的从 1 开始。