Search
Please activate JavaScript to enable the search functionality.
From here you can search these documents. Enter your search words into the box below and click "search". Note that the search function will automatically search for all of the words. Pages containing fewer words won't appear in the result list.
Search Results
Search finished, found 840 page(s) matching the search query.
-
sklearn.linear_model.RidgeClassifier
```Python class sklearn.linear_model.RidgeClassifier(alpha=1.0, *, fit_intercept=True, normalize=Fa
-
sklearn.datasets.fetch_lfw_people
```python sklearn.datasets.fetch_lfw_people(*, data_home=None, funneled=True, resize=0.5, min_faces
-
sklearn.metrics.homogeneity_score
```python sklearn.metrics.homogeneity_score(labels_true, labels_pred) ``` [源码](https://github.c
-
sklearn.utils.extmath.safe_sparse_dot
```Python sklearn.utils.extmath.safe_sparse_dot(a, b, *, dense_output=False) ``` [源码](https://g
-
sklearn.linear_model.RidgeClassifierCV
```Python class sklearn.linear_model.RidgeClassifierCV(alphas=(0.1, 1.0, 10.0), *, fit_intercept=Tr
-
sklearn.datasets.fetch_olivetti_faces
```python sklearn.datasets.fetch_olivetti_faces(*, data_home=None, shuffle=False, random_state=0, d
-
sklearn.metrics.mutual_info_score
```python sklearn.metrics.mutual_info_score(labels_true, labels_pred, *, contingency=None) ``` [源码]
-
sklearn.utils.extmath.randomized_range_finder
```python sklearn.utils.extmath.randomized_range_finder(A, *, size, n_iter, power_iteration_normali
-
使用LARS的Lasso路径
在糖尿病数据集上使用LARS算法计算沿正则化参数的Lasso路径。每种颜色都表示系数向量的不同特征，并表示为正则化参数的函数。 是在这个例子中使用的估计器。每种颜色都表示系数向量的不同特征，这
-
sklearn.linear_model.LinearRegression
```Python class sklearn.linear_model.LinearRegression(*, fit_intercept=True, normalize=False, copy_
