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Five Cartoon Network Episodes That Got Banned I...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/movies-and-tv/link/cartoon-network-episodes-banned-90s-list -
How Much More Women Have To Save For Retirement...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/data-viz/link/women-retirement-savings-compared-to-men-US-states -
7 McDonald’s Menu Items Fans Desperately Want B...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/food/link/missing-mcdonalds-menu-items-fans-want-back-list -
BaggingClassifier — scikit-learn 1.5.2 document...
special cases with k == 1 , otherwise k==n_classes . property...estimator = None , n_estimators = 10 , * , max_samples = 1.0 , max_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html -
OpenTelemetry Bridge | APM .NET Agent Reference...
src = new ActivitySource("Test"); using var activity1 = src...."test", t => { Thread.Sleep(100); using (var activity = src.StartActivity("foo"))...www.elastic.co/guide/en/apm/agent/dotnet/current/opentelemetry-bridge.html -
StratifiedKFold — scikit-learn 1.5.2 documentation
n_splits = 5 , * , shuffle = False , random_state = None ) [source]...StratifiedKFold(n_splits=2, random_state=None, shuffle=False) >>> for i...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
LeaveOneGroupOut — scikit-learn 1.5.2 documenta...
Train: index=[2 3], group=[2 2] Test: index=[0 1], group=[1 1] Fold...Train: index=[0 1], group=[1 1] Test: index=[2 3], group=[2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html -
DictVectorizer — scikit-learn 1.5.2 documentation
dtype=<class 'numpy.float64'> , separator='=' , sparse=True ,...DictVectorizer >>> v = DictVectorizer ( sparse = False ) >>> D = [{ 'foo'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
RandomForestRegressor — scikit-learn 1.5.2 docu...
n_estimators = 100 , * , criterion = 'squared_error' , max_depth = None...min_weight_fraction_leaf = 0.0 , max_features = 1.0 , max_leaf_nodes = None , ...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html -
ExtraTreeClassifier — scikit-learn 1.5.2 docume...
criterion = 'gini' , splitter = 'random' , max_depth = None , min_samples_split...min_weight_fraction_leaf = 0.0 , max_features = 'sqrt' , random_state = None ,...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html