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load_wine — scikit-learn 1.7.0 documentation
Gallery examples: Outlier detection on a real data set ROC Curve with Visualization API Importance of Feature Scalingscikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html -
spectral_clustering — scikit-learn 1.7.0 docume...
Gallery examples: Segmenting the picture of greek coins in regions Spectral clustering for image segmentationscikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html -
manhattan_distances — scikit-learn 1.7.0 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version manhattan_distances # sklearn.metrics.pairwise. manha...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.manhattan_distances.html -
fetch_file — scikit-learn 1.7.0 documentation
Gallery examples: Lagged features for time series forecastingscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_file.html -
get_config — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version get_config # sklearn. get_config ( ) [source] # Retri...scikit-learn.org/stable/modules/generated/sklearn.get_config.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 -
6. Visualizations — scikit-learn 1.7.0 document...
Scikit-learn defines a simple API for creating visualizations for machine learning. The key feature of this API is to allow for quick plotting and visual adjustments without recalculation. We provi...scikit-learn.org/stable/visualizations.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 -
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