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Unsupervised learning: seeking representations ...
array ([[ 1 , 1 , 1 ], [ 0.5 , 2 , 1 ], [ 1.5 , 1 , 2 ]]) # Mixing...k_means . labels_ [:: 10 ]) [1 1 1 1 1 2 0 0 0 0 2 2 2 2 2] >>> print...scikit-learn.org/stable/tutorial/statistical_inference/unsupervised_learning.html -
An introduction to machine learning with scikit...
array([[1, 1, 0, 0, 0], [1, 0, 1, 0, 0], [0, 1, 0, 1, 0], [1, 0,...predict ( X ) array([[1, 0, 0], [1, 0, 0], [0, 1, 0], [0, 0, 0], [0,...scikit-learn.org/stable/tutorial/basic/tutorial.html -
1.14. Semi-supervised learning — scikit-learn 1...
1.14.1. Self Training # This self-training...content Back to top Ctrl + K GitHub 1.14. Semi-supervised learning #...scikit-learn.org/stable/modules/semi_supervised.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 -
4.1. Partial Dependence and Individual Conditio...
1.1. Partial dependence plots # Partial..., learning_rate = 1.0 , ... max_depth = 1 , random_state = 0...scikit-learn.org/stable/modules/partial_dependence.html -
1.3. Kernel ridge regression — scikit-learn 1.5...
content Back to top Ctrl + K GitHub 1.3. Kernel ridge regression # Kernel...model using only approximately 1/3 of the 100 training datapoints...scikit-learn.org/stable/modules/kernel_ridge.html -
1. Supervised learning — scikit-learn 1.5.0 doc...
GitHub 1. Supervised learning # 1.1. Linear Models 1.1.1. Ordinary...Lasso 1.1.4. Multi-task Lasso 1.1.5. Elastic-Net 1.1.6. Multi-task...scikit-learn.org/stable/supervised_learning.html -
Statistical learning: the setting and the estim...
param1 = 1 , param2 = 2 ) >>> estimator . param1 1 Estimated...scikit-learn.org/stable/tutorial/statistical_inference/settings.html -
1.9. Naive Bayes — scikit-learn 1.5.0 documenta...
= P(x_i = 1 \mid y) x_i + (1 - P(x_i = 1 \mid y)) (1 - x_i)\]...that \[P(x_i | y, x_1, \dots, x_{i-1}, x_{i+1}, \dots, x_n) = P(x_i...scikit-learn.org/stable/modules/naive_bayes.html -
1.7. Gaussian Processes — scikit-learn 1.5.0 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