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feed.xml
ron=gobig&hulk=regpage&blade=elasticweb&gambit=mp-b AWS Marketplace...ron=gobig&hulk=regpage&blade=elasticweb&gambit=mp-b AWS Marketplace...www.elastic.co/observability-labs/rss/feed.xml -
GaussianProcessClassifier — scikit-learn 1.6.1 ...
n_restarts_optimizer = 0 , max_iter_predict = 100 , warm_start = False , copy_X_train...copy_X_train = True , random_state = None , multi_class = 'one_vs_rest'...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
QuantileRegressor — scikit-learn 1.6.1 document...
quantile = 0.5 , alpha = 1.0 , fit_intercept = True , solver = 'highs'...n_samples , n_features = 10 , 2 >>> rng = np . random . RandomState...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
Probabilistic predictions with Gaussian process...
train_size = 50 rng = np . random . RandomState ( 0 ) X = rng . uniform...train_size ], c = "k" , label = "Train data" , edgecolors = ( 0 , 0 ,...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
Matern — scikit-learn 1.6.1 documentation
length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5...>>> X , y = load_iris ( return_X_y = True ) >>> kernel = 1.0 * Matern...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
Principal Component Analysis (PCA) on Iris Data...
projection = "3d" , elev =- 150 , azim = 110 ) X_reduced = PCA ( n_components...PCA fig = plt . figure ( 1 , figsize = ( 8 , 6 )) ax = fig . add_subplot...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
Detection error tradeoff (DET) curve — scikit-l...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state...max_depth = 5 , n_estimators = 10 , max_features = 1 ), } Plot...scikit-learn.org/stable/auto_examples/model_selection/plot_det.html -
set_config — scikit-learn 1.6.1 documentation
assume_finite = None , working_memory = None , print_changed_only = None...None , display = None , pairwise_dist_chunk_size = None , enabl...scikit-learn.org/stable/modules/generated/sklearn.set_config.html -
plot_hgbt_regression.zip
py """ ========== Features in Histogram Gradient...Gradient Boosting Trees ========== :ref:`histogram_based_gradient_boosting`...scikit-learn.org/stable/_downloads/ef504a3cb245a55fde178198c8218b4a/plot_hgbt_regression.zip -
FeatureUnion — scikit-learn 1.6.1 documentation
n_jobs = None , transformer_weights = None , verbose = False ,...union = FeatureUnion ([( "pca" , PCA ( n_components = 1 )), ......scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html