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KNeighborsRegressor — scikit-learn 1.5.0 docume...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
QuantileRegressor — scikit-learn 1.5.0 document...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
TransformedTargetRegressor — scikit-learn 1.5.0...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
Linear and Quadratic Discriminant Analysis with...
2 * v [ 0 ] ** 0.5 , 2 * v [ 1 ] ** 0.5 , angle...( mean , cov , color , ax ): v , w = np . linalg . eigh ( cov...scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.html -
Lars — scikit-learn 1.5.0 documentation
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
LassoLars — scikit-learn 1.5.0 documentation
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html -
LassoLarsIC — scikit-learn 1.5.0 documentation
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html -
MultiTaskLassoCV — scikit-learn 1.5.0 documenta...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
RadiusNeighborsRegressor — scikit-learn 1.5.0 d...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
LassoCV — scikit-learn 1.5.0 documentation
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html