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about.rst.txt
utors>`__. Active Core Contributors ---------- Maintainers Team...<contributing>`. Documentation Team .......... The following people...scikit-learn.org/stable/_sources/about.rst.txt -
StratifiedKFold — scikit-learn 1.7.2 documentation
np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...enumerate ( skf . split ( X , y )): ... print ( f "Fold { i } :" ) ......scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
Classification — scikit-learn 1.7.2 documentation
top Ctrl + K GitHub Choose version Classification # General examples...covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant...scikit-learn.org/stable/auto_examples/classification/index.html -
3.1. Cross-validation: evaluating estimator per...
) >>> scores array([0.96, 1. , 0.96, 0.96, 1. ]) The mean score...scores array([0.96, 1., 0.96, 0.96, 1.]) See The scoring parameter:...scikit-learn.org/stable/modules/cross_validation.html -
GradientBoostingRegressor — scikit-learn 1.7.2 ...
{‘squared_error’, ‘absolute_error’, ‘huber’, ‘quantile’}, default=’squared_error’...= None , tol = 0.0001 , ccp_alpha = 0.0 ) [source] # Gradient...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
LatentDirichletAllocation — scikit-learn 1.7.2 ...
evaluate_every = -1 , total_samples = 1000000.0 , perp_tol = 0.1 , mean_change_tol...model.components_ / model.components_.sum(axis=1)[:, np.newaxis]...scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html -
Release Highlights — scikit-learn 1.7.2 documen...
scikit-learn 1.1 Release Highlights for scikit-learn 1.0 Release...scikit-learn 1.2 Release Highlights for scikit-learn 1.1 Release...scikit-learn.org/stable/auto_examples/release_highlights/index.html -
governance.rst.txt
way, they are a contributor. Core Contributors ---------- All...relevant to their roles. Contributors ---------- Contributors are community...scikit-learn.org/stable/_sources/governance.rst.txt -
1.2. Linear and Quadratic Discriminant Analysis...
\left(-\frac{1}{2} (x-\mu_k)^t \Sigma_k^{-1} (x-\mu_k)\right)\]...(x-\mu_k)\right)\] where \(d\) is the number of features. 1.2.2.1. QDA # According...scikit-learn.org/stable/modules/lda_qda.html -
SimpleImputer — scikit-learn 1.7.2 documentation
transform ( X )) [[ 7. 2. 3. ] [ 4. 3.5 6. ] [10. 3.5 9. ]] For...imp_mean . fit ([[ 7 , 2 , 3 ], [ 4 , np . nan , 6 ], [ 10 , 5 , 9...scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html