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L1-based models for Sparse Signals — scikit-lea...
The present example compares three l1-based regression models on a synthetic signal obtained from sparse and correlated features that are further corrupted with additive gaussian noise: a Lasso;, a...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.html -
8.1. Toy datasets — scikit-learn 1.7.1 document...
scikit-learn comes with a few small standard datasets that do not require to download any file from some external website. They can be loaded using the following functions: These datasets are usefu...scikit-learn.org/stable/datasets/toy_dataset.html -
2.8. Density Estimation — scikit-learn 1.7.1 do...
Density estimation walks the line between unsupervised learning, feature engineering, and data modeling. Some of the most popular and useful density estimation techniques are mixture models such as...scikit-learn.org/stable/modules/density.html -
9. Computing with scikit-learn — scikit-learn 1...
Strategies to scale computationally: bigger data- Scaling with instances using out-of-core learning., Computational Performance- Prediction Latency, Prediction Throughput, Tips and Tricks., Paralle...scikit-learn.org/stable/computing.html -
1.10. Decision Trees — scikit-learn 1.7.1 docum...
Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning s...scikit-learn.org/stable/modules/tree.html -
1.16. Probability calibration — scikit-learn 1....
When performing classification you often want not only to predict the class label, but also obtain a probability of the respective label. This probability gives you some kind of confidence on the p...scikit-learn.org/stable/modules/calibration.html -
1.17. Neural network models (supervised) — scik...
details can be found in the documentation of SGD Adam is similar to...scikit-learn.org/stable/modules/neural_networks_supervised.html -
ExtraTreeClassifier — scikit-learn 1.7.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version ExtraTreeClassifier # class sklearn.tree. ExtraTreeCl...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html -
DictVectorizer — scikit-learn 1.7.1 documentation
Gallery examples: Column Transformer with Heterogeneous Data Sources FeatureHasher and DictVectorizer Comparisonscikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
MetadataRequest — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version MetadataRequest # class sklearn.utils.metadata_routin...scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html