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A demo of the mean-shift clustering algorithm —...
Reference: Dorin Comaniciu and Peter Meer, “Mean Shift: A robust approach toward feature space analysis”. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002. pp. 603-619. Generate...scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html -
Plot different SVM classifiers in the iris data...
Comparison of different linear SVM classifiers on a 2D projection of the iris dataset. We only consider the first 2 features of this dataset: Sepal length, Sepal width. This example shows how to pl...scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html -
Effect of varying threshold for self-training —...
This example illustrates the effect of a varying threshold on self-training. The breast_cancer dataset is loaded, and labels are deleted such that only 50 out of 569 samples have labels. A SelfTrai...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
Model-based and sequential feature selection — ...
This example illustrates and compares two approaches for feature selection: SelectFromModel which is based on feature importance, and SequentialFeatureSelector which relies on a greedy approach. We...scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html -
Imputing missing values before building an esti...
Missing values can be replaced by the mean, the median or the most frequent value using the basic SimpleImputer. In this example we will investigate different imputation techniques: imputation by t...scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html -
Scaling the regularization parameter for SVCs —...
the limitations on the documentation builder. Total running time...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html -
9.1. Strategies to scale computationally: bigge...
beyond the scope of this documentation. 9.1.1.2. Extracting features...shingVectorizer for text documents. 9.1.1.3. Incremental learning...scikit-learn.org/stable/computing/scaling_strategies.html -
shuffle — scikit-learn 1.7.2 documentation
Gallery examples: Prediction Latency Empirical evaluation of the impact of k-means initialization Combine predictors using stacking Early stopping of Stochastic Gradient Descent Approximate nearest...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
Tags — scikit-learn 1.7.2 documentation
Gallery examples: Release Highlights for scikit-learn 1.6scikit-learn.org/stable/modules/generated/sklearn.utils.Tags.html -
TargetTags — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version TargetTags # class sklearn.utils. TargetTags ( requir...scikit-learn.org/stable/modules/generated/sklearn.utils.TargetTags.html