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Configuración de Registro
/^\d{4}-\d{2}-\d{2}/ format1 /^(?<time>\d{4}-\d{2}-\d{2} \d{...\d{2}:\d{2}:\d{2},\d{3}) \[(?<thread>.*?)\] (?<level&g...fess.codelibs.org/es/15.3/config/admin-logging.html -
Gaussian Mixture Model Ellipsoids — sciki...
eigh ( covar ) v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v )...n_samples , 2 ), C ), 0.7 * np . random . randn ( n_samples , 2 ) + np...scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html -
Polynomial and Spline interpolation — sci...
x_0 ** 2 , x_0 ** 3 , ... , x_0 ** degree...degree ], [ 1 , x_1 , x_1 ** 2 , x_1 ** 3 , ... , x_1 ** degree...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
gen_batches — scikit-learn 1.8.0 document...
list ( gen_batches ( 2 , 3 )) [slice(0, 2, None)] >>>...gen_batches ( 7 , 3 , min_batch_size = 2 )) [slice(0, 3, None), slice(3,...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html -
Two-class AdaBoost — scikit-learn 1.8.0 d...
cov = 2.0 , n_samples = 200 , n_features = 2 , n_classes = 2 , random_state...= 300 , n_features = 2 , n_classes = 2 , random_state = 1 ) X...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html -
FastICA on 2D point clouds — scikit-learn...
subplot ( 2 , 2 , 2 ) plot_samples ( X / np ....1.5 , size = ( 20000 , 2 )) S [:, 0 ] *= 2.0 # Mix data A = np ....scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html -
Multiclass sparse logistic regression on 20newg...
solver=saga] Number of epochs: 2 [model=One versus Rest, solver=saga]...solver=saga] Number of epochs: 2 [model=Multinomial, solver=saga]...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_20newsgroups.html -
Principal Component Regression vs Partial Least...
n_samples ) / 2 fig , axes = plt . subplots ( 1 , 2 , figsize =...) pca = PCA ( n_components = 2 ) . fit ( X ) plt . scatter (...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
3.1. Cross-validation: evaluating estimator per...
2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...scikit-learn.org/stable/modules/cross_validation.html -
GridSearchCV — scikit-learn 1.8.0 documen...
split0_test_score … rank_t… ‘poly’ – 2 0.80 … 2 ‘poly’ – 3 0.70 … 4 ‘rbf’...verbose = 0 , pre_dispatch = '2*n_jobs' , error_score = nan ,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html