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non_negative_factorization — scikit-learn 1.7.2...
||H||_{Fro}^2,\end{aligned}\end{align} \] where \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
Plot classification boundaries with different S...
2 , 0.5 ], [ 0.2 , - 2.0 ], [ 0.5 , - 2.4 ], [ 0.2 , - 2.3...[ - 1.3 , - 1.2 ], [ - 1.1 , - 0.2 ], [ - 1.2 , - 0.4 ], [ -...scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html -
Blind source separation using FastICA — scikit-...
# Signal 2 : square signal s3 = signal . sawtooth ( 2 * np . pi...1 , 1 ], [ 0.5 , 2 , 1.0 ], [ 1.5 , 1.0 , 2.0 ]]) # Mixing matrix...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html -
Model-based and sequential feature selection — ...
2 area (worst): 185.2 4254.0 smoothness (worst):...Since we want to select only 2 features, we will set this threshold...scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html -
Statistical comparison of models using grid sea...
098776 2_poly {'degree': 2, 'kernel': 'poly'} 4...factorial ( 2 ) * factorial ( len ( model_scores ) - 2 ) ) pairwise_t_test...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html -
Compare Stochastic learning strategies for MLPC...
subplots ( 2 , 2 , figsize = ( 15 , 10 )) # load...0 , "learning_rate_init" : 0.2 , }, { "solver" : "sgd" , "learning_rate"...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.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 -
Comparing different clustering algorithms on to...
xlim ( - 2.5 , 2.5 ) plt . ylim ( - 2.5 , 2.5 ) plt . xticks...240 , "quantile" : 0.2 , "n_clusters" : 2 , "min_samples" : 7...scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html -
Classification — scikit-learn 1.7.2 documentation
General examples about classification algorithms. Classifier comparison Linear and Quadratic Discriminant Analysis with covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis...scikit-learn.org/stable/auto_examples/classification/index.html -
MetaEstimatorMixin — scikit-learn 1.7.2 documen...
Gallery examples: Metadata Routingscikit-learn.org/stable/modules/generated/sklearn.base.MetaEstimatorMixin.html