Question

使用下面的示例，使用Python 3.5 sklearn：

from sklearn import tree
features = [[140,1], [130,1], [150,0], [155,0]]
labels = [0,0,1,1]

clf = tree.DecisionTreeClassifier()
clf.fit(features, labels)
print(clf.predict(155,0))

我收到错误以下错误。我不明白为什么我收到这个错误，有人可以解释一下吗？

Traceback (most recent call last):
  File "ml.py", line 7, in <module>
    print(clf.predict(155,0))
  File "/Users/user/Documents/hello/env/lib/python3.5/site-packages/sklearn/tree/tree.py", line 404, in predict
    X = self._validate_X_predict(X, check_input)
  File "/Users/user/Documents/hello/env/lib/python3.5/site-packages/sklearn/tree/tree.py", line 371, in _validate_X_predict
    n_features = X.shape[1]
AttributeError: 'int' object has no attribute 'shape'

Answer 1

如果您阅读了DecisionTreeClassifier.predict的文档，则可以看到您传递了错误的数据：

预测（X，check_input = True）

预测X的类或回归值。对于分类模型，返回X中每个样本的预测类。对于回归模型，返回基于X的预测值。参数：

X : array-like or sparse matrix of shape = [n_samples, n_features]

Python错误'int'对象没有属性'shape'

1 个答案: