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make_circles — scikit-learn 1.7.2 documentation
shape (100,) >>> list ( y [: 5 ]) [np.int64(1), np.int64(1), np.int64(1),...np.int64(1), np.int64(0), np.int64(0)] Gallery examples # Classifier...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
plot_classifier_comparison.py
= X[:, 0].min() - 0.5, X[:, 0].max() + 0.5 y_min, y_max = X[:,...X[:, 1].min() - 0.5, X[:, 1].max() + 0.5 # just plot the dataset...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
plot_kmeans_digits.zip
{n_features}") # %% # Define our evaluation benchmark # ---------- # #...# %% # Run the benchmark # ---------- # # We will compare three...scikit-learn.org/stable/_downloads/1393861b58df827d4c681b80a5be2472/plot_kmeans_digits.zip -
feature_selection.rst.txt
= [[0, 0, 1], [0, 1, 0], [1, 0, 0], [0, 1, 1], [0, 1, 0], [0,....8))) >>> sel.fit_transform(X) array([[0, 1], [1, 0], [0, 0], [1,...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
Download Elastic Cloud on Kubernetes | Elastic
create -f https://download.elastic.co/downloads/eck/3.1.0/crds.yaml...apply -f https://download.elastic.co/downloads/eck/3.1.0/operator.yaml...www.elastic.co/downloads/elastic-cloud-kubernetes -
Ensemble methods — scikit-learn 1.7.2 documenta...
Boosting Out-of-Bag estimates Gradient Boosting Out-of-Bag estimates...bagging: bias-variance decomposition Two-class AdaBoost Two-class AdaBoost...scikit-learn.org/stable/auto_examples/ensemble/index.html -
Decision Trees — scikit-learn 1.7.2 documentation
top Ctrl + K GitHub Choose version Decision Trees # Examples...Examples concerning the sklearn.tree module. Decision Tree Regression...scikit-learn.org/stable/auto_examples/tree/index.html -
GradientBoostingClassifier — scikit-learn 1.7.2...
None , tol = 0.0001 , ccp_alpha = 0.0 ) [source] # Gradient Boosting...increase in bias. Values must be in the range (0.0, 1.0] . criterion...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
MLPRegressor — scikit-learn 1.7.2 documentation
function, returns f(x) = 1 / (1 + exp(-x)). ‘tanh’, the hyperbolic tan...function, returns f(x) = max(0, x) solver {‘lbfgs’, ‘sgd’, ‘adam’},...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
HalvingRandomSearchCV — scikit-learn 1.7.2 docu...
object (e.g., function) with signature scorer(estimator, X, y) ....param_distributions , * , n_candidates = 'exhaust' , factor = 3 , resource...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingRandomSearchCV.html