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Version 0.17 — scikit-learn 1.6.0 documentation
1 # February 18, 2016 Changelog...meta-estimator with n_jobs > 1 used with a large grid of parameters...scikit-learn.org/stable/whats_new/v0.17.html -
Demonstration of k-means assumptions — scikit-l...
axs [ 1 , 0 ] . set_title ( "Unequal Variance" ) axs [ 1 , 1 ] ....X_filtered [:, 1 ], c = y_filtered ) axs [ 1 , 1 ] . set_title...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
Comparing various online solvers — scikit-learn...
tol = 1e-1 , C = 1.0e4 / X . shape [ 0 ]), ), ] xx = 1.0 - np ....= 110 , loss = "hinge" , C = 1.0 , tol = 1e-4 ), ), ( "Passive-Aggressive...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
Comparing Linear Bayesian Regressors — scikit-l...
1 , n_samples ) * 1.35 y = np . sqrt ( X...: y }) X = X . reshape (( - 1 , 1 )) # extrapolation X_plot =...scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html -
Core configuration options | APM Java Agent Ref...
options recording ( [ 1.15.0 ] Added in 1.15.0. ) This option was...ELASTIC_APM_RECORDING enabled ( [ 1.18.0 ] Added in 1.18.0. ) Setting to false...www.elastic.co/guide/en/apm/agent/java/current/config-core.html -
Comparison between grid search and successive h...
1e-1 , 1e-2 , 1e-3 , 1e-4 , 1e-5 , 1e-6 , 1e-7 ] Cs = [ 1 , 10...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
make_swiss_roll — scikit-learn 1.6.0 documentation
algorithm is from Marsland [1]. References [ 1 ] S. Marsland, “Machine...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
add_dummy_feature — scikit-learn 1.6.0 document...
1 ], [ 1 , 0 ]]) array([[1., 0., 1.], [1., 1., 0.]])...add_dummy_feature ( X , value = 1.0 ) [source] # Augment dataset...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html -
non_negative_factorization — scikit-learn 1.6.0...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...n\_samples * ||vec(H)||_1\\ &+ 0.5 * alpha\_W * (1 - l1\_ratio) * n\_features...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
Recognizing hand-written digits — scikit-learn ...
0 0 0 1 0 0 0 0 0] [ 0 88 1 0 0 0 0 0 1 1] [ 0 0 85 1 0 0 0 0...0 0 88 1 0 0 2] [ 0 1 0 0 0 0 90 0 0 0] [ 0 0 0 0 0 1 0 88 0...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html