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Examples based on real world datasets — scikit-...
Applications to real world problems with some medium sized datasets or interactive user interface. Compressive sensing: tomography reconstruction with L1 prior (Lasso) Faces recognition example usi...scikit-learn.org/stable/auto_examples/applications/index.html -
sklearn.kernel_approximation — scikit-learn 1.7...
Approximate kernel feature maps based on Fourier transforms and count sketches. User guide. See the Kernel Approximation section for further details.scikit-learn.org/stable/api/sklearn.kernel_approximation.html -
fetch_california_housing — scikit-learn 1.7.2 d...
Gallery examples: Comparing Random Forests and Histogram Gradient Boosting models Early stopping in Gradient Boosting Imputing missing values with variants of IterativeImputer Imputing missing valu...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html -
fetch_species_distributions — scikit-learn 1.7....
Gallery examples: Species distribution modeling Kernel Density Estimate of Species Distributionsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html -
fetch_20newsgroups_vectorized — scikit-learn 1....
Gallery examples: Model Complexity Influence Multiclass sparse logistic regression on 20newgroups The Johnson-Lindenstrauss bound for embedding with random projectionsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html -
load_sample_image — scikit-learn 1.7.2 document...
Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_image # sklearn.datasets. load_sample_ima...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_image.html -
sklearn.naive_bayes — scikit-learn 1.7.2 docume...
Naive Bayes algorithms. These are supervised learning methods based on applying Bayes’ theorem with strong (naive) feature independence assumptions. User guide. See the Naive Bayes section for furt...scikit-learn.org/stable/api/sklearn.naive_bayes.html -
Uptime Monitoring Guide for 7.2-7.9 | Elastic
2-7.9 Uptime Monitoring Guide for 7.2-7.9: 7.9 Uptime...Guide for 7.2-7.9: 7.8 Uptime Monitoring Guide for 7.2-7.9: 7.7...www.elastic.co/guide/en/uptime/index.html -
Developing scikit-learn estimators — scikit-lea...
alpha = 2.3 ) clf3 = SGDClassifier ([[ 1 , 2 ], [ 2 , 3 ]], [...self , param1 = 1 , param2 = 2 ): self . param1 = param1 self...scikit-learn.org/stable/developers/develop.html -
Comparing Linear Bayesian Regressors — scikit-l...
This example compares two different bayesian regressors: a Automatic Relevance Determination - ARD, a Bayesian Ridge Regression. In the first part, we use an Ordinary Least Squares(OLS) model as a ...scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html