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1.5. Stochastic Gradient Descent — scikit-learn...
[ 1. , 1. ]] >>> y = [ 0 , 1 ] >>> clf = SGDClassifier...\Vert^2 + b\nu + \frac{1}{n} \sum_{i=1}^n \max(0, 1 - (\langle w, x_i...scikit-learn.org/stable/modules/sgd.html -
1.9. Naive Bayes — scikit-learn 1.8.0 documenta...
= P(x_i = 1 \mid y) x_i + (1 - P(x_i = 1 \mid y)) (1 - x_i)\]...\[P(x_i | y, x_1, \dots, x_{i-1}, x_{i+1}, \dots, x_n) = P(x_i | y),\]...scikit-learn.org/stable/modules/naive_bayes.html -
1.7. Gaussian Processes — scikit-learn 1.8.0 do...
1.7.3. GPC examples # 1.7.3.1. Probabilistic predictions...features exceeds a few dozens. 1.7.1. Gaussian Process Regression...scikit-learn.org/stable/modules/gaussian_process.html -
1.17. Neural network models (supervised) — scik...
[ 1. , 1. ]] >>> y = [[ 0 , 1 ], [ 1 , 1 ]] >>> clf...= [[ 0. , 0. ], [ 1. , 1. ]] >>> y = [ 0 , 1 ] >>> clf = MLPClassifier...scikit-learn.org/stable/modules/neural_networks_supervised.html -
Release Highlights for scikit-learn 1.4 — sciki...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html -
Release Highlights for scikit-learn 1.2 — sciki...
189830 -1.973554 2.0 1.0 33 -0.416010 2.630382 0.0 1.0 107 1.765012...-0.362176 4.0 3.0 7 -1.021849 0.788808 1.0 1.0 Interaction constraints...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html -
Release Highlights for scikit-learn 1.3 — sciki...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Demo of HDBSCAN...array ([ 0 , 1 , 6 , np . nan ]) . reshape ( - 1 , 1 ) y = [ 0 ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
Release Highlights for scikit-learn 1.8 — sciki...
deprecated:: 1.8 `penalty` was deprecated in version 1.8 and will...with `0 = l1_ratio = 1`. Setting `l1_ratio=1` gives a pure L1-penalty,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_8_0.html -
Release Highlights for scikit-learn 1.6 — sciki...
1 , 6 , np . nan ]) . reshape ( - 1 , 1 ) y = [ 0 ,..., 0 , 1 , 1 ] forest = ExtraTreesClassifier ( random_state =...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html -
1.2. Linear and Quadratic Discriminant Analysis...
equal to \(\frac{1}{n - 1} X_k^TX_k = \frac{1}{n - 1} V S^2 V^T\)...\frac{1}{(2\pi)^{d/2} |\Sigma_k|^{1/2}}\exp\left(-\frac{1}{2} (x-\mu_k)^T...scikit-learn.org/stable/modules/lda_qda.html