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Bunch — scikit-learn 1.7.0 documentation
b = 2 ) >>> b [ 'b' ] 2 >>> b . b 2 >>> b . a = 3 >>>...return a (key, value) pair as a 2-tuple. Pairs are returned in LIFO...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
TransformedTargetRegressor — scikit-learn 1.7.0...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...The function needs to return a 2-dimensional array. inverse_func...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
RegressorMixin — scikit-learn 1.7.0 documentation
2 ], [ 2 , 3 ], [ 3 , 4 ]]) >>> y =...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html -
PolynomialFeatures — scikit-learn 1.7.0 documen...
degree-2 polynomial features are [1, a, b, a^2, ab, b^2]. Read...etc. excluded: x[0] ** 2 , x[0] ** 2 * x[1] , etc. include_bias...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
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1.7. Gaussian Processes — scikit-learn 1.7.0 do...
log-transformed [[ -inf 2.30258509] [ -inf 2.30258509] [ -inf 2.30258509]]...\left(1 + \frac{d(x_i, x_j)^2}{2\alpha l^2}\right)^{-\alpha}\] The...scikit-learn.org/stable/modules/gaussian_process.html -
RidgeCV — scikit-learn 1.7.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination ( \(R^2\) ) otherwise. cv int, cross-validation...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
mean_absolute_percentage_error — scikit-learn 1...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> m...1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 , 8. ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html -
RationalQuadratic — scikit-learn 1.7.0 document...
x_j)^2 }{ 2\alpha l^2}\right)^{-\alpha}\] where...>>> gpc . predict_proba ( X [: 2 ,:]) array([[0.8881, 0.0566, 0.05518],...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
ElasticNetCV — scikit-learn 1.7.0 documentation
objective is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html