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Successive Halving Iterations — scikit-learn 1....
"min_samples_split" : randint ( 2 , 11 ), "bootstrap" : [ True ,...param_distributions = param_dist , factor = 2 , random_state = rng ) rsh . fit...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_iterations.html -
export_text — scikit-learn 1.7.2 documentation
decimals = 2 , show_weights = False ) [source]...result. decimals int, default=2 Number of decimal digits to display....scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html -
12. Dispatching — scikit-learn 1.7.2 documentation
2. Support for Array API -compatible...scikit-learn.org/stable/dispatching.html -
config_context — scikit-learn 1.7.2 documentation
2. transform_output str, default=None...“default”. Added in version 1.2. Added in version 1.4: "polars"...scikit-learn.org/stable/modules/generated/sklearn.config_context.html -
RadiusNeighborsRegressor — scikit-learn 1.7.2 d...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...'auto' , leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
DistanceMetric — scikit-learn 1.7.2 documentation
HaversineDistance 2 arcsin(sqrt(sin^2(0.5*dx) + cos(x1)cos(x2)sin^2(0.5*dy)))...'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>> Y...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
d2_log_loss_score — scikit-learn 1.7.2 document...
Like R^2, D^2 score may be negative (it need...labels = None ) [source] # \(D^2\) score function, fraction of...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html -
LassoLars — scikit-learn 1.7.2 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...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.LassoLars.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 -
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