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Time-related feature engineering — scikit-learn...
This notebook introduces different strategies to leverage time-related features for a bike sharing demand regression task that is highly dependent on business cycles (days, weeks, months) and yearl...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html -
Comparing Target Encoder with Other Encoders — ...
The TargetEncoder uses the value of the target to encode each categorical feature. In this example, we will compare three different approaches for handling categorical features: TargetEncoder, Ordi...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
Manifold Learning methods on a severed sphere —...
An application of the different Manifold learning techniques on a spherical data-set. Here one can see the use of dimensionality reduction in order to gain some intuition regarding the manifold lea...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
mean_pinball_loss — scikit-learn 1.7.0 document...
Gallery examples: Lagged features for time series forecasting Prediction Intervals for Gradient Boosting Regression Features in Histogram Gradient Boosting Trees Release Highlights for scikit-learn...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
train_test_split — scikit-learn 1.7.0 documenta...
Gallery examples: Image denoising using kernel PCA Faces recognition example using eigenfaces and SVMs Model Complexity Influence Prediction Latency Lagged features for time series forecasting Prob...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
average_precision_score — scikit-learn 1.7.0 do...
Gallery examples: Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
davies_bouldin_score — scikit-learn 1.7.0 docum...
Skip to main content Back to top Ctrl + K GitHub Choose version davies_bouldin_score # sklearn.metrics. davies_bouldi...scikit-learn.org/stable/modules/generated/sklearn.metrics.davies_bouldin_score.html -
roc_auc_score — scikit-learn 1.7.0 documentation
Gallery examples: Probability Calibration curves Plot classification probability Model-based and sequential feature selection Statistical comparison of models using grid search Multiclass Receiver ...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
brier_score_loss — scikit-learn 1.7.0 documenta...
Gallery examples: Probability calibration of classifiers Probability Calibration curves Probability Calibration for 3-class classification Examples of Using FrozenEstimatorscikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
d2_pinball_score — scikit-learn 1.7.0 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version d2_pinball_score # sklearn.metrics. d2_pinball_score ...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html