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AdvisedSupport (Spring Framework 7.0.1 API)
or -1 if no such advice is an advice...0) of the given advisor, or -1 if no such advisor applies to...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/aop/framework/Advise... -
ClassifierMixin — scikit-learn 1.7.2 docu...
predict ( X ) array([1, 1, 1]) >>> estimator ....MyEstimator ( param = 1 ) >>> X = np . array ([[ 1 , 2 ], [ 2 ,...scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html -
StratifiedShuffleSplit — scikit-learn 1.7...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...np . array ([ 0 , 0 , 0 , 1 , 1 , 1 ]) >>> sss = StratifiedShuffleSpl...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
PowerTransformer — scikit-learn 1.7.2 doc...
data )) [[-1.316 -0.707] [ 0.209 -0.707] [ 1.106 1.414]] fit (...= ( X * lambda_ + 1 ) ** ( 1 / lambda_ ) - 1 elif X < 0 and...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html -
PLSCanonical — scikit-learn 1.7.2 documen...
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...intercept_ . Added in version 1.1. n_iter_ list of shape (n_components,)...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
OrdinalEncoder — scikit-learn 1.7.2 docum...
inverse_transform ([[ 1 , 0 ], [ 0 , 1 ]]) array([['Male', 1], ['Female',... =- 1 ) . fit_transform ( X ) array([[ 1., 0.], [ 0., 1.], [...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
WebApplicationInitializer (Spring Framework 7.0...
</init-param> <load-on-startup>1</load-on-startup> </servlet>... dispatcher.setLoadOnStartup(1); dispatcher.addMapping("/");...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/WebApplicationIn... -
Matern — scikit-learn 1.7.2 documentation
kernel = 1.0 * Matern ( length_scale = 1.0 , nu = 1.5 ) >>>...length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5 )...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
mean_poisson_deviance — scikit-learn 1.7....
with the power parameter power=1 . Read more in the User Guide...>>> y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
LedoitWolf — scikit-learn 1.7.2 documenta...
1]. n_features_in_ int Number of...all strings. Added in version 1.0. See also EllipticEnvelope An...scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html