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incr_mean_variance_axis — scikit-learn 1.6.1 do...
axis = 0 , last_mean = np . zeros ( 3 ), last_var = np . zeros...(n_features,) if axis=0 or (n_samples,) if axis=1. last_var ndarray...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
1.11. Ensembles: Gradient boosting, random fore...
min_samples_leaf = 1 , ... max_depth = 2 , ... learning_rate = 1 , ......learning_rate = 1.0 , ... max_depth = 1 , random_state = 0 ) . fit...scikit-learn.org/stable/modules/ensemble.html -
RadiusNeighborsClassifier — scikit-learn 1.6.1 ...
leaf_size = 30 , p = 2 , metric = 'minkowski' , outlier_label = None...radius = 1.0 , * , weights = 'uniform' , algorithm = 'auto' ,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html -
Decision boundary of semi-supervised classifier...
base_classifier = SVC ( kernel = "rbf" , gamma = 0.5 , probability = True...] y = iris . target # step size in the mesh h = 0.02 rng = np...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html -
Gaussian Mixture Model Selection — scikit-learn...
( X [ Y_ == i , 0 ], X [ Y_ == i , 1 ], 0.8 , color = color )...data = df , kind = "bar" , x = "Number of components" , y = "BIC...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html -
Profiler Auto instrumentation | APM .NET Agent ...
$environment = @{ COR_ENABLE_PROFILING = "1" COR_PROFILER = "{FA65.../+"[name='$appPool'].environmentVariables.[name='$_',value='$($environment[$_])']"...www.elastic.co/guide/en/apm/agent/dotnet/current/setup-auto-instrumentation.html -
MultiTaskLasso — scikit-learn 1.6.1 documentation
l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html -
Inductive Clustering — scikit-learn 1.6.1 docum...
c = color , alpha = alpha , edgecolor = "k" ) # Generate..., y = make_blobs ( n_samples = N_SAMPLES , cluster_std = [ 1.0...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
PCA — scikit-learn 1.6.1 documentation
n_components == min ( n_samples , n_features ) If n_components == 'mle'...n_components == 'mle' will interpret svd_solver == 'auto' as svd_solver...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
MiniBatchKMeans — scikit-learn 1.6.1 documentation
n_clusters = 8 , * , init = 'k-means++' , max_iter = 100 , batch_size...batch_size = 1024 , verbose = 0 , compute_labels = True , random_state...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html