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sklearn.utils — scikit-learn 1.7.1 documentation
Various utilities to help with development. Developer guide. See the Utilities for Developers section for further details. Input and parameter validation: Functions to validate input and parameters...scikit-learn.org/stable/api/sklearn.utils.html -
process_routing — scikit-learn 1.7.1 documentation
Gallery examples: Metadata Routingscikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.process_routing.html -
6. Visualizations — scikit-learn 1.7.1 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 -
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 1.7.1...
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 -
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 -
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 -
make_classification — scikit-learn 1.7.1 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 -
jaccard_score — scikit-learn 1.7.1 documentation
Gallery examples: Multilabel classification using a classifier chainscikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html