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Demonstrating the different strategies of KBins...
[ 2 , 4 ], [ 8 , 8 ]]) centers_1 =...3 , 3 , size = ( n_samples , 2 )), make_blobs ( n_samples = [...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html -
Version 1.1 — scikit-learn 1.5.2 documentation
2+. Optional minimal dependency is matplotlib 3.1.2+. Changed...the latest SciPy release >= 1.9.2. Notable changes include: Fix...scikit-learn.org/stable/whats_new/v1.1.html -
Version 0.16 — scikit-learn 1.5.2 documentation
approximated rbf_kernel with gamma=g/2. ; the definition of gamma is...scikit-learn.org/stable/whats_new/v0.16.html -
Comparison between grid search and successive h...
1e-2 , 1e-3 , 1e-4 , 1e-5 , 1e-6 ,...param_grid = param_grid , factor = 2 , random_state = rng ) gsh . fit...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
Probability calibration of classifiers — scikit...
y [: n_samples // 2 ] = 0 y [ n_samples // 2 :] = 1 sample_weight...here # Generate 3 blobs with 2 classes where the second blob...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
模範解答的なセクション 2 | DBFlute
模範解答的なセクション 2 概要 このセクションでの登場人物 模範解答的な実装 概要 DBFluteハンズオン、セクション 2 の模範解答的な実装です。...の模範解答的な実装です。 ハンズオンセクション 2 正解は一つではありませんので、あくまで "的な" というところで、参考までに。...dbflute.seasar.org/ja/tutorial/handson/flower/flower02.html -
6.9. Transforming the prediction target (y) — s...
array([2, 2, 1]) >>> list ( le . inverse_transform ([ 2 , 2 , 1...y = [[ 2 , 3 , 4 ], [ 2 ], [ 0 , 1 , 3 ], [ 0 , 1 , 2 , 3 , 4...scikit-learn.org/stable/modules/preprocessing_targets.html -
SVM with custom kernel — scikit-learn 1.5.2 doc...
: 2 ] # we only take the first two...""" We create a custom kernel: (2 0) k(X, Y) = X ( ) Y.T (0 1) """...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
Multi-class AdaBoosted Decision Trees — scikit-...
class (quantiles of the \(\chi^2\) distribution). from sklearn.datasets...make_gaussian_quantiles ( n_samples = 2_000 , n_features = 10 , n_classes...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html -
Version 0.20 — scikit-learn 1.5.2 documentation
scikit-learn to support Python 2.7 and Python 3.4. Scikit-learn...upgraded from 0.13.0 to 0.13.2. sklearn.cluster # Fix Fixed a...scikit-learn.org/stable/whats_new/v0.20.html