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L1-based models for Sparse Signals — scikit-lea...
1 , n_samples ) y += 0.2 * rng . normal ( 0 , 1 , n_samples...linthresh = 10e-4 , vmin =- 1 , vmax = 1 ), cbar_kws = { "label"...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.html -
Plot multi-class SGD on the iris dataset — scik...
feature_names [ 1 ], ) plt . axis ( "tight" ) #...scatter ( X [ idx , 0 ], X [ idx , 1 ], c = color , label = iris ....scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
gen_batches — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version gen_batches # sklearn.utils. gen_batches ( n , batch_...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html -
all_estimators — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version all_estimators # sklearn.utils.discovery. all_estimat...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_estimators.html -
sklearn.pipeline — scikit-learn 1.7.1 documenta...
Utilities to build a composite estimator as a chain of transforms and estimators. User guide. See the Pipelines and composite estimators section for further details.scikit-learn.org/stable/api/sklearn.pipeline.html -
Generalized Linear Models — scikit-learn 1.7.1 ...
Examples concerning the sklearn.linear_model module. Comparing Linear Bayesian Regressors Curve Fitting with Bayesian Ridge Regression Decision Boundaries of Multinomial and One-vs-Rest Logistic Re...scikit-learn.org/stable/auto_examples/linear_model/index.html -
show_versions — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version show_versions # sklearn. show_versions ( ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.show_versions.html -
Pipelines and composite estimators — scikit-lea...
Examples of how to compose transformers and pipelines from other estimators. See the User Guide. Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Concatenating...scikit-learn.org/stable/auto_examples/compose/index.html -
sklearn.manifold — scikit-learn 1.7.1 documenta...
Data embedding techniques. User guide. See the Manifold learning section for further details.scikit-learn.org/stable/api/sklearn.manifold.html -
sklearn.covariance — scikit-learn 1.7.1 documen...
Methods and algorithms to robustly estimate covariance. They estimate the covariance of features at given sets of points, as well as the precision matrix defined as the inverse of the covariance. C...scikit-learn.org/stable/api/sklearn.covariance.html