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inplace_row_scale — scikit-learn 1.7.1 document...
1 , 2 , 3 , 3 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...csr . todense () matrix([[8, 1, 0, 0], [0, 0, 2, 0], [0, 0, 0,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_row_scale.html -
Plot different SVM classifiers in the iris data...
plot the support vectors C = 1.0 # SVM regularization parameter...) X0 , X1 = X [:, 0 ], X [:, 1 ] for clf , title , ax in zip...scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.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 -
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 -
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 -
load_linnerud — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version load_linnerud # sklearn.datasets. load_linnerud ( * ,...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_linnerud.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.multioutput — scikit-learn 1.7.1 docume...
Multioutput regression and classification. The estimators provided in this module are meta-estimators: they require a base estimator to be provided in their constructor. The meta-estimator extends ...scikit-learn.org/stable/api/sklearn.multioutput.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.inspection — scikit-learn 1.7.1 documen...
Tools for model inspection. User guide. See the Inspection section for further details. Plotting:scikit-learn.org/stable/api/sklearn.inspection.html