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Jupyter - IBM Developer
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Curve Fitting with Bayesian Ridge Regression &#...
sin ( 2 * np . pi * x ) size = 25 rng..., axes = plt . subplots ( 1 , 2 , figsize = ( 8 , 4 )) for i ,...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.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 -
make_scorer — scikit-learn 1.8.0 document...
beta = 2 ) >>> ftwo_scorer ma...response_method='predict', beta=2) >>> from sklearn.model_selection...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
hamming_loss — scikit-learn 1.8.0 documen...
2 , 3 , 4 ] >>> y_true = [ 2 , 2 , 3 , 4 ]...[ 1 , 1 ]]), np . zeros (( 2 , 2 ))) 0.75 Gallery examples #...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
johnson_lindenstrauss_min_dim — scikit-le...
v||^2 < ||p(u) - p(v)||^2 < (1 + eps) ||u - v||^2 Where...>= 4 log(n_samples) / (eps^2 / 2 - eps^3 / 3) Note that the number...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
GaussianMixture — scikit-learn 1.8.0 docu...
2 ], [ 1 , 4 ], [ 1 , 0 ], [ 10 , 2 ], [ 10 , 4 ],...gm . means_ array([[10., 2.], [ 1., 2.]]) >>> gm . predict...scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.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 -
SpectralCoclustering — scikit-learn 1.8.0...
[ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...SpectralCoclustering ( n_clusters = 2 , random_state = 0 ) . fit ( X...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
Face completion with a multi-output estimators ...
n_pixels // 2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test.... figure ( figsize = ( 2.0 * n_cols , 2.26 * n_faces )) plt ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html