AttributeError Traceback (most recent call last) Cell In[21], line 62 60 softmax_probs = softmax_model.predict_proba(X_test_scaled) 61 mlp_probs = mlp_model.predict_proba(X_test_scaled) ---> 62 svm_probs = svm_model.predict_proba(X_test_scaled)[:, 1] 64 softmax_fpr, softmax_tpr, _ = roc_curve(y_test, softmax_probs[:, 1], pos_label=2) 65 mlp_fpr, mlp_tpr, _ = roc_curve(y_test, mlp_probs[:, 1], pos_label=2) File D:\ANACONDA\lib\site-packages\sklearn\utils\_available_if.py:32, in _AvailableIfDescriptor.__get__(self, obj, owner) 26 attr_err = AttributeError( 27 f"This {repr(owner.__name__)} has no attribute {repr(self.attribute_name)}" 28 ) 29 if obj is not None: 30 # delegate only on instances, not the classes. 31 # this is to allow access to the docstrings. ---> 32 if not self.check(obj): 33 raise attr_err 34 out = MethodType(self.fn, obj) File D:\ANACONDA\lib\site-packages\sklearn\svm\_base.py:829, in BaseSVC._check_proba(self) 827 def _check_proba(self): 828 if not self.probability: --> 829 raise AttributeError( 830 "predict_proba is not available when probability=False" 831 ) 832 if self._impl not in ("c_svc", "nu_svc"): 833 raise AttributeError("predict_proba only implemented for SVC and NuSVC") AttributeError: predict_proba is not available when probability=False
时间: 2024-04-15 15:26:41 浏览: 30
这个错误是由于支持向量机模型(SVC)的probability参数设置为False时,不支持使用predict_proba方法来获取样本属于各个类别的概率导致的。
解决这个问题有两种方法:
1. 将SVC模型的probability参数设置为True。修改代码如下:
```python
svm_model = SVC(kernel='rbf', C=1.0, probability=True)
```
使用上述代码替换原代码中的`svm_model = SVC(kernel='rbf', C=1.0)`,然后再次运行程序,即可解决该错误。
2. 使用decision_function方法来获取样本距离分类超平面的距离,并手动将其转换为概率值。修改代码如下:
```python
svm_distances = svm_model.decision_function(X_test_scaled)
svm_probs = (svm_distances - svm_distances.min()) / (svm_distances.max() - svm_distances.min())
```
使用上述代码替换原代码中的`svm_probs = svm_model.predict_proba(X_test_scaled)[:, 1]`,然后再次运行程序,即可解决该错误。
希望这个解决方案能帮助到你!如果还有其他问题,请随时提问。
相关问题
AttributeError Traceback (most recent call last
This error occurs when you try to access an attribute or method that does not exist in the object you are using.
To fix this error, you should check the spelling and syntax of the attribute or method you are trying to access. Make sure that it exists in the object you are using. If you are not sure, you can use the `dir()` function to list all the attributes and methods of the object.
If the attribute or method is supposed to exist but is still giving you an error, it could be a problem with the object itself. In this case, you may need to check the documentation or seek help from the developer community.
AttributeError Traceback (most recent call last)是啥错误
`AttributeError` 是 Python 中的一个错误类型,通常在对象或类中访问不存在的属性或方法时引发。例如,如果你尝试访问一个对象上不存在的属性,就可能会出现 AttributeError。
以下是一个例子:
```
class MyClass:
def __init__(self, x):
self.x = x
my_object = MyClass(10)
print(my_object.y)
```
在这个例子中,我们创建了一个名为 `MyClass` 的类,并在其构造函数中定义了一个属性 `x`。然后我们创建了一个 `MyClass` 的实例 `my_object`,尝试访问其属性 `y`,但是由于该属性并不存在,因此会引发 `AttributeError`。
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