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Search finished, found 840 page(s) matching the search query.
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sklearn.kernel_approximation.SkewedChi2Sampler
```python class sklearn.kernel_approximation.SkewedChi2Sampler(*, skewedness=1.0, n_components=100,
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sklearn.kernel_ridge Kernel Ridge Regression
```python class sklearn.kernel_ridge.KernelRidge(alpha=1, *, kernel='linear', gamma=None, degree=3,
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sklearn.cluster.ward_tree
```python sklearn.cluster.ward_tree(X, *, connectivity=None, n_clusters=None, return_distance=False)
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sklearn.compose.make_column_selector
```python sklearn.compose.make_column_selector(pattern=None, *, dtype_include=None, dtype_exclude=N
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sklearn.linear_model.ridge_regression
```python sklearn.linear_model.ridge_regression（X，y，alpha，*，sample_weight = None，Solver ='auto'，max
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sklearn.covariance.shrunk_covariance
```Python sklearn.covariance.shrunk_covariance(emp_cov, shrinkage=0.1) ``` 计算对角线上收缩的协方差矩阵 在[
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sklearn.manifold.trustworthiness
```python sklearn.manifold.trustworthiness(X, X_embedded, *, n_neighbors=5, metric='euclidean') ``
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sklearn.cross_decomposition.PLSSVD
```python class sklearn.cross_decomposition.PLSSVD(n_components=2, *, scale=True, copy=True) ``` [[
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sklearn.metrics.RocCurveDisplay
```python class sklearn.metrics.RocCurveDisplay(*, fpr, tpr, roc_auc=None, estimator_name=None) ``
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sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis
```python class sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(*, priors=None, reg_par
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sklearn.dummy.DummyRegressor
```python class sklearn.dummy.DummyRegressor(*, strategy='mean', constant=None, quantile=None) ```
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sklearn.mixture.GaussianMixture
```python class sklearn.mixture.GaussianMixture`(*n_components=1, *, covariance_type='full', tol=0.
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sklearn.ensemble.HistGradientBoostingClassifier
```python class sklearn.ensemble.HistGradientBoostingClassifier(loss='auto', *, learning_rate=0.1, m
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sklearn.exceptionsUndefinedMetricWarning
```python class sklearn.exceptions.UndefinedMetricWarning ``` [[源码]](https://github.com/scikit-
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sklearn.model_selection.validation_curve
```python sklearn.model_selection.validation_curve(estimator, X, y, *, param_name, param_range, grou
