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Statistical comparison of models using grid sea...
hue = y , marker = "o" , s = 25 , edgecolor = "k" , legend...n_splits = 10 , n_repeats = 10 , random_state = 0 ) search = GridSearchCV...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html -
Iso-probability lines for Gaussian Processes cl...
sigma_0 = 0.1 ) ** 2 gp = GaussianProcessClass ( kernel = kernel...cax = plt . imshow ( y_prob , cmap = cm . gray_r , alpha = 0.8...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html -
cross_validation.rst.txt
_cross_validation: ========== Cross-validation: evaluating...evaluating estimator performance ========== .. currentmodule:: sklearn.model_selection...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
Feature transformations with ensembles of trees...
max_depth = max_depth , random_state = 10 ) _ = gradient_boosting...RandomTreesEmbedding(max_depth=3, n_estimators=10, random_state=0)), ('logisticregression',...scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html -
Image denoising using dictionary learning — sci...
n_components = 50 , batch_size = 200 , alpha = 1.0 , max_iter = 10 ,...imshow ( image , vmin = 0 , vmax = 1 , cmap = plt . cm . gray , interpolation...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
SGDClassifier — scikit-learn 1.7.2 documentation
tol = 0.001 , shuffle = True , verbose = 0 , epsilon = 0.1 , n_jobs...SGDClassifier ( loss = 'hinge' , * , penalty = 'l2' , alpha = 0.0001 , l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html -
Kernel Density Estimate of Species Distribution...
coordinates" ) kde = KernelDensity ( bandwidth = 0.04 , metric = "haversine"...basemap" ) m = Basemap ( projection = "cyl" , llcrnrlat = Y . min...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html -
LassoCV — scikit-learn 1.7.2 documentation
fit_intercept = True , precompute = 'auto' , max_iter = 1000 , tol = 0.0001...copy_X = True , cv = None , verbose = False , n_jobs = None ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
MultiTaskLassoCV — scikit-learn 1.7.2 documenta...
fit_intercept = True , max_iter = 1000 , tol = 0.0001 , copy_X = True...precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
clustering.rst.txt
========== ========== ========== ``assign_labels="kmeans"``...|coin_cluster_qr| ========== ========== ========== .. dropdown:: References...scikit-learn.org/stable/_sources/modules/clustering.rst.txt