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Gaussian Mixture Model Sine Curve — scikit-lear...
This example demonstrates the behavior of Gaussian mixture models fit on data that was not sampled from a mixture of Gaussian random variables. The dataset is formed by 100 points loosely spaced fo...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html -
Lagged features for time series forecasting — s...
This example demonstrates how Polars-engineered lagged features can be used for time series forecasting with HistGradientBoostingRegressor on the Bike Sharing Demand dataset. See the example on Tim...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html -
sklearn.random_projection — scikit-learn 1.7.1 ...
Random projection transformers. Random projections are a simple and computationally efficient way to reduce the dimensionality of the data by trading a controlled amount of accuracy (as additional ...scikit-learn.org/stable/api/sklearn.random_projection.html -
label_ranking_loss — scikit-learn 1.7.1 documen...
Skip to main content Back to top Ctrl + K GitHub Choose version label_ranking_loss # sklearn.metrics. label_ranking_l...scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_loss.html -
multilabel_confusion_matrix — scikit-learn 1.7....
Skip to main content Back to top Ctrl + K GitHub Choose version multilabel_confusion_matrix # sklearn.metrics. multil...scikit-learn.org/stable/modules/generated/sklearn.metrics.multilabel_confusion_matrix.html -
mean_absolute_error — scikit-learn 1.7.1 docume...
Gallery examples: Lagged features for time series forecasting Poisson regression and non-normal loss Quantile regression Tweedie regression on insurance claimsscikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
mean_gamma_deviance — scikit-learn 1.7.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version mean_gamma_deviance # sklearn.metrics. mean_gamma_dev...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_gamma_deviance.html -
mean_squared_error — scikit-learn 1.7.1 documen...
Gallery examples: Model Complexity Influence Early stopping in Gradient Boosting Prediction Intervals for Gradient Boosting Regression Gradient Boosting regression Ordinary Least Squares and Ridge ...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html -
fetch_california_housing — scikit-learn 1.7.1 d...
Gallery examples: Comparing Random Forests and Histogram Gradient Boosting models Early stopping in Gradient Boosting Imputing missing values with variants of IterativeImputer Imputing missing valu...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html -
load_sample_image — scikit-learn 1.7.1 document...
Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_image # sklearn.datasets. load_sample_ima...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_image.html