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parametrize_with_checks — scikit-learn 1.5.2 do...
scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.parametrize_with_checks.... -
Robust linear estimator fitting — scikit-learn ...
Here a sine function is fit with a polynomial of order 3, for values close to zero. Robust fitting is demoed in different situations: No measurement errors, only modelling errors (fitting a sine wi...scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
RidgeClassifier — scikit-learn 1.5.2 documentation
converts the target values into {-1, 1} and then treats the problem...sklearn.linear_model. RidgeClassifier ( alpha = 1.0 , * , fit_intercept = True ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html -
GridSearchCV — scikit-learn 1.5.2 documentation
version 1.5: Xt was deprecated in 1.5 and will be removed in 1.7....means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
TheilSenRegressor — scikit-learn 1.5.2 document...
means 1 unless in a joblib.parallel_backend context. -1 means...the number of features (plus 1 if fit_intercept=True) and the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
6.7. Kernel Approximation — scikit-learn 1.5.2 ...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...\Lambda^{-1} U_1^T K_{21}^T \\&= K_{21} U_1 \Lambda^{-1} U_1^T K_{21}^T...scikit-learn.org/stable/modules/kernel_approximation.html -
KernelRidge — scikit-learn 1.5.2 documentation
alpha = 1.0 ) >>> krr . fit ( X , y ) KernelRidge(alpha=1.0) fit...sklearn.kernel_ridge. KernelRidge ( alpha = 1 , * , kernel = 'linear' , gamma...scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html -
Older Versions — scikit-learn 1.6.dev0 document...
1 Meng Xinfan 1 Rob Zinkov 1 Shiqiao 1 Udi Weinsberg 1 Virgile...Cournapeau 1 Keith Goodman 1 Ludwig Schwardt 1 Olivier Hervieu 1 Sergio...scikit-learn.org/dev/whats_new/older_versions.html -
TunedThresholdClassifierCV — scikit-learn 1.5.2...
means 1 unless in a joblib.parallel_backend context. -1 means...... n_samples = 1_000 , weights = [ 0.9 , 0.1 ], class_sep = 0.8...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html -
LassoLarsCV — scikit-learn 1.5.2 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...optimization objective for Lasso is: ( 1 / ( 2 * n_samples )) * || y -...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html