Question

我正在尝试使用此处的代码：https://github.com/pystruct/pystruct/blob/master/examples/multi_label.py

我的X_train的形状为(2591, 256)，y_train的形状为(2591, 175)。当我运行时：

tree = chow_liu_tree(y_train)
tree_model = MultiLabelClf(edges=tree, inference_method="max-product")
tree_ssvm = OneSlackSSVM(tree_model, inference_cache=50, C=.1, tol=0.01)
print("fitting tree model...")
tree_ssvm.fit(X_train, y_train)

我明白了：

Traceback (most recent call last):
  File "classifiers.py", line 173, in <module>
    tree_ssvm.fit(X_train, y_train)
  File "/usr/local/lib/python2.7/dist-packages/pystruct/learners/one_slack_ssvm.py", line 448, in fit
    X, Y, joint_feature_gt, constraints)
  File "/usr/local/lib/python2.7/dist-packages/pystruct/learners/one_slack_ssvm.py", line 348, in _find_new_constraint
    X, Y, self.w, relaxed=True)
  File "/usr/local/lib/python2.7/dist-packages/pystruct/models/base.py", line 95, in batch_loss_augmented_inference
    for x, y in zip(X, Y)]
  File "/usr/local/lib/python2.7/dist-packages/pystruct/models/crf.py", line 106, in loss_augmented_inference
    loss_augment_unaries(unary_potentials, np.asarray(y), self.class_weight)
  File "utils.pyx", line 21, in utils.__pyx_fused_cpdef (src/utils.c:4341)
TypeError: No matching signature found

当我直接从链接运行代码时，它可以工作（使用他们的数据集）。有人知道应该是什么问题吗？

Answer 1

如果有人也会得到这个错误，y必须是int类型 - 我有浮动。

解决方案链接：https://groups.google.com/forum/#!searchin/pystruct/matching/pystruct/T6UKEgZLmxY/297oLYQL8U8J

Answer 2

使用Catboost时，出现错误：“ typeerror：未找到匹配的签名” 正如前一篇文章正确提到的，这是由于y向量不是数字。通过对该向量进行标签编码来解决。在您的非数字y列上：

from sklearn import preprocessing

le = preprocessing.LabelEncoder()

df['column_name']=le.fit_transform(df['column_name'])

PyStruct - 没有匹配的签名查找

2 个答案: