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AdaBoostRegressor — scikit-learn 1.5.2 document...
estimator = None , * , n_estimators = 50 , learning_rate = 1.0 ,..., y = make_regression ( n_features = 4 , n_informative = 2 ,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
Log Correlation | APM Go Agent Reference [2.x] ...
id=%s transaction.id=%s span.id=%s] an error occurred",...nil . labels := make(map[string]string) tx := apm.TransactionFromConte(ctx)...www.elastic.co/guide/en/apm/agent/go/current/log-correlation-ids.html -
1.9. Naive Bayes — scikit-learn 1.5.2 documenta...
random_state = 0 ) >>> gnb = GaussianNB () >>> y_pred = gnb . fit...\[P(x_i \mid y) = P(x_i = 1 \mid y) x_i + (1 - P(x_i = 1 \mid y))...scikit-learn.org/stable/modules/naive_bayes.html -
BernoulliNB — scikit-learn 1.5.2 documentation
alpha = 1.0 , force_alpha = True , binarize = 0.0 , fit_prior...fit_prior = True , class_prior = None ) [source] # Naive Bayes classifier...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
OrthogonalMatchingPursuitCV — scikit-learn 1.5....
copy = True , fit_intercept = True , max_iter = None , cv = None..., y = make_regression ( n_features = 100 , n_informative = 10...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html -
Land of Linkin' | MetaFilter
<div class="svg-sprite" id="svg-sprite-container" style="display:none"></div>...type="text/javascript"> !function() { var static_server = 'dh...www.metafilter.com/206136/Land-of-Linkin -
l1_min_c — scikit-learn 1.5.2 documentation
y = make_classification ( n_samples = 100 , n_features = 20...y , * , loss = 'squared_hinge' , fit_intercept = True , intercept_scaling...scikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html -
3.5. Validation curves: plotting scores to eval...
y = load_iris ( return_X_y = True ) >>> indices = np . arange...shuffle X , y = load_iris ( return_X_y = True ) X , y = shuffle (...scikit-learn.org/stable/modules/learning_curve.html -
IsolationForest — scikit-learn 1.5.2 documentation
n_estimators = 100 , max_samples = 'auto' , contamination = 'auto'...max_features = 1.0 , bootstrap = False , n_jobs = None , random_state...scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html -
bootstrap.css
stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5...stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5...scikit-learn.org/dev/_static/styles/bootstrap.css