6

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

我有 X_train 与 shape(2591, 256)和 y_train 与 shape (2591, 175)。当我运行这个：

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)

我懂了：

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）。有谁知道应该是什么问题？

4

2 回答 2

9

万一有人也会得到那个错误，y必须是 int 类型 - 我得到了浮点数。

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

于 2015-08-30T22:49:22.173 回答
-1

在使用 Catboost 时，我得到了错误：“typeerror: no matching signature found” 正如上一篇文章正确提到的，这是由于 ay 向量不是数字的。它是通过标记该向量来解决的。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'])
于 2020-07-14T05:55:04.160 回答