estimator = RidgeCV(alphas = {0.1,1,1})
时间: 2023-09-30 18:04:53 浏览: 38
`RidgeCV` is a class in scikit-learn library that implements Ridge regression with built-in cross-validation to find the optimal alpha hyperparameter. The `alphas` parameter specifies the set of alpha values to be tested during cross-validation. However, the usage of `{0.1,1,1}` as the `alphas` argument seems to be incorrect since it contains duplicate values (two 1s). The `alphas` parameter should be a list or array-like object containing unique alpha values. Here is an example of the correct usage:
```python
estimator = RidgeCV(alphas=[0.1, 1.0])
```
In this example, the RidgeCV estimator will perform cross-validation using alpha values of 0.1 and 1.0 to determine the best regularization parameter for the Ridge regression model.