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ledoit_wolf — scikit-learn 1.7.0 documentation
Gallery examples: Sparse inverse covariance estimationscikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
make_union — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version make_union # sklearn.pipeline. make_union ( * transfo...scikit-learn.org/stable/modules/generated/sklearn.pipeline.make_union.html -
Semi Supervised Classification — scikit-learn 1...
Examples concerning the sklearn.semi_supervised module. Decision boundary of semi-supervised classifiers versus SVM on the Iris dataset Effect of varying threshold for self-training Label Propagati...scikit-learn.org/stable/auto_examples/semi_supervised/index.html -
Probability Calibration curves — scikit-learn 1...
When performing classification one often wants to predict not only the class label, but also the associated probability. This probability gives some kind of confidence on the prediction. This examp...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
maxabs_scale — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version maxabs_scale # sklearn.preprocessing. maxabs_scale ( ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html -
Gradient Boosting regularization — scikit-learn...
Illustration of the effect of different regularization strategies for Gradient Boosting. The example is taken from Hastie et al 2009 1. The loss function used is binomial deviance. Regularization v...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
Model Complexity Influence — scikit-learn 1.7.0...
Demonstrate how model complexity influences both prediction accuracy and computational performance. We will be using two datasets:,- Diabetes dataset for regression. This dataset consists of 10 mea...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html -
Compare BIRCH and MiniBatchKMeans — scikit-lear...
This example compares the timing of BIRCH (with and without the global clustering step) and MiniBatchKMeans on a synthetic dataset having 25,000 samples and 2 features generated using make_blobs. B...scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html -
make_classification — scikit-learn 1.7.0 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 -
make_scorer — scikit-learn 1.7.0 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