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MiniBatchNMF — scikit-learn 1.6.1 documentation
max_iter = 200 , alpha_W = 0.0 , alpha_H = 'same' , l1_ratio = 0.0...n_components = 'auto' , * , init = None , batch_size = 1024 , beta_loss...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html -
dcg_score — scikit-learn 1.6.1 documentation
k = None , log_base = 2 , sample_weight = None , ignore_ties.../ 2 = 7.5 >>> dcg_score ( true_relevance , scores , k = 1 ) np.float64(7.5)...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
d2_pinball_score — scikit-learn 1.6.1 documenta...
sample_weight = None , alpha = 0.5 , multioutput = 'uniform_average'...(n_samples,), default=None Sample weights. alpha float, default=0.5 Slope...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html -
pairwise_kernels — scikit-learn 1.6.1 documenta...
Y = None , metric = 'linear' , * , filter_params = False...(n_samples_X, n_samples_X) if metric == “precomputed” and (n_samples_X,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.pairwise_kernels.html -
StratifiedGroupKFold — scikit-learn 1.6.1 docum...
( n_splits = 5 , shuffle = False , random_state = None ) [source]...StratifiedGroupKFold(n_splits=3, random_state=None, shuffle=False) >>> for i...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
HuberRegressor vs Ridge on dataset with strong ...
n_samples = 20 , n_features = 1 , random_state = 0 , noise = 4.0 ,...): huber = HuberRegressor ( alpha = 0.0 , epsilon = epsilon )...scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html -
Plot individual and voting regression predictio...
( axis = "x" , which = "both" , bottom = False , top = False ,...reg1 = GradientBoostingRegr ( random_state = 1 ) reg2 = RandomForestRegresso...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_regressor.html -
enet_path — scikit-learn 1.6.1 documentation
l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
DecisionBoundaryDisplay — scikit-learn 1.6.1 do...
plot_method = 'contourf' , ax = None , xlabel = None , ylabel = None...display = DecisionBoundaryDisp ( ... xx0 = feature_1 , xx1 = feature_2...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
LocallyLinearEmbedding — scikit-learn 1.6.1 doc...
n_neighbors = 5 , n_components = 2 , reg = 0.001 , eigen_solver = 'auto'...'auto' , tol = 1e-06 , max_iter = 100 , method = 'standard' , hessian_tol...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html