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randomized_range_finder — scikit-learn 1....
size = 2 , n_iter = 2 , random_state = 42 ) array([[-0.214,...normalization if n_iter <= 2 and switches to LU otherwise....scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_range_finder.html -
RidgeCV — scikit-learn 1.8.0 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 -
Joint feature selection with multi-task Lasso &...
2 , 2 ) plt . spy ( coef_multi_task_lasso_...)) times = np . linspace ( 0 , 2 * np . pi , n_tasks ) for k in...scikit-learn.org/stable/auto_examples/linear_model/plot_multi_task_lasso_support.html -
ARDRegression — scikit-learn 1.8.0 docume...
[ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression() >>>...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
inplace_swap_row — scikit-learn 1.8.0 doc...
2 , 2 ]) >>> data = np . array ([ 8 , 2 , 5 ])...>>> indptr = np . array ([ 0 , 2 , 3 , 3 , 3 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_row.html -
Thread pool settings | Reference
of allocated processors * 3) / 2) + 1 , and queue_size of 1000...# of allocated processors ) / 2 , and queue_size of 1000 . get...www.elastic.co/docs/reference/elasticsearch/configuration-reference/thread-pool-settings -
Importance of Feature Scaling — scikit-le...
section we select a subset of 2 features that have values with...) = plt . subplots ( ncols = 2 , figsize = ( 12 , 6 )) fit_and_plot_model...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
Visualizing the probabilistic predictions of a ...
SplineTransformer ( degree = 2 , n_knots = 2 ), PolynomialFeatures (...SplineTransformer(degree=2, n_knots=2)), ('polynomialfeatures',...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html -
neighbors.rst.txt
[-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]]) >>> nbrs...np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]]) >>> kdt...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
Plot the decision surfaces of ensembles of tree...
2 , w_pad = 0.2 , pad = 2.5 ) plt . show ()...pair in ([ 0 , 1 ], [ 0 , 2 ], [ 2 , 3 ]): for model in models...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html