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SGDRegressor — scikit-learn 1.8.0 documentation

Gallery examples: Prediction Latency SGD: Penalties

scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html

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Mon Mar 23 20:39:20 UTC 2026
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LassoLarsCV — scikit-learn 1.8.0 documentation

Gallery examples: Lasso model selection: AIC-BIC / cross-validation

scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html

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Mon Mar 23 20:39:20 UTC 2026
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TheilSenRegressor — scikit-learn 1.8.0 document...

Gallery examples: Robust linear estimator fitting Theil-Sen Regression

scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html

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Mon Mar 23 20:39:21 UTC 2026
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make_classification — scikit-learn 1.8.0 docume...

Gallery examples: Probability Calibration curves Comparison of Calibration of Classifiers Classifier comparison OOB Errors for Random Forests Feature transformations with ensembles of trees Feature...

scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html

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Mon Mar 23 20:39:23 UTC 2026
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make_scorer — scikit-learn 1.8.0 documentation

Gallery examples: Lagged features for time series forecasting Prediction Intervals for Gradient Boosting Regression Features in Histogram Gradient Boosting Trees Post-tuning the decision threshold ...

scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html

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Mon Mar 23 20:39:21 UTC 2026
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BisectingKMeans — scikit-learn 1.8.0 documentation

Gallery examples: Bisecting K-Means and Regular K-Means Performance Comparison Release Highlights for scikit-learn 1.1

scikit-learn.org/stable/modules/generated/sklearn.cluster.BisectingKMeans.html

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Mon Mar 23 20:39:20 UTC 2026
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SpectralClustering — scikit-learn 1.8.0 documen...

Gallery examples: Comparing different clustering algorithms on toy datasets

scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html

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Mon Mar 23 20:39:20 UTC 2026
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is_regressor — scikit-learn 1.8.0 documentation

Skip to main content Back to top Ctrl + K GitHub Choose version is_regressor # sklearn.base. is_regressor ( estimator...

scikit-learn.org/stable/modules/generated/sklearn.base.is_regressor.html

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Mon Mar 23 20:39:20 UTC 2026
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oas — scikit-learn 1.8.0 documentation

Skip to main content Back to top Ctrl + K GitHub Choose version oas # sklearn.covariance. oas ( X , * , assume_center...

scikit-learn.org/stable/modules/generated/oas-function.html

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Mon Mar 23 20:39:23 UTC 2026
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LedoitWolf — scikit-learn 1.8.0 documentation

Gallery examples: Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood Ledoit-Wolf vs OAS estimation Model selection with Probabilistic PCA and Factor Analysis (FA)

scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html

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Mon Mar 23 20:39:23 UTC 2026
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