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Curve Fitting with Bayesian Ridge Regression — ...
values (alpha_init = 1.90, lambda_init = 1.), the bias of the resulting...scale = 0.1 , size = size ) x_test = np . linspace ( 0.0 , 1.0 , 100...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
dict_learning_online — scikit-learn 1.7.1 docum...
* || U || _1 , 1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...the Frobenius norm and ||.||_1,1 stands for the entry-wise matrix...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html -
ledoit_wolf — scikit-learn 1.7.1 documentation
scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
SGD: convex loss functions — scikit-learn 1.7.1...
z >= - 1 ] = ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0...([ xmin , 0 , 0 , xmax ], [ 1 , 1 , 0 , 0 ], color = "gold" ,...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
1.14. Semi-supervised learning — scikit-learn 1...
1.14.1. Self Training # This self-training...Ctrl + K GitHub Choose version 1.14. Semi-supervised learning #...scikit-learn.org/stable/modules/semi_supervised.html -
Decision Tree Regression with AdaBoost — scikit...
regr_1 . fit ( X , y ) regr_2 . fit ( X , y ) y_1 = regr_1 . predict...X , y_1 , color = colors [ 1 ], label = "n_estimators=1" , linewidth...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html -
8. Dataset loading utilities — scikit-learn 1.7...
1. Toy datasets 8.1.1. Iris plants dataset 8.1.2. Diabetes...digits dataset 8.1.4. Linnerrud dataset 8.1.5. Wine recognition dataset...scikit-learn.org/stable/datasets.html -
Gaussian processes on discrete data structures ...
array ([ 1.0 , 1.0 , 2.0 , 2.0 , 3.0 , 3.0 ])...( len ( X_train )), [ 1.0 if c else - 1.0 for c in Y_train ],...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
haversine_distances — scikit-learn 1.7.1 docume...
with a less than 1% error on average. Examples We...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.haversine_distances.html -
Plot randomly generated multilabel dataset — sc...
1 ], color = COLORS . take (( Y * [ 1 , 2 , 4 ]) ...., n_labels = 1 ) ax1 . set_title ( "n_labels=1, length=50" )...scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html