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VotingRegressor — scikit-learn 1.6.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4 , 16 ],...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
Not actually sponsored by Trader Joe's as far a...
Know-it-some at 2:10 PM on November 27 [ 2 favorites ] One of...posted by Ice Cream Socialist at 2:04 PM on November 27 Damn, no...www.metafilter.com/206484/Not-actually-sponsored-by-Trader-Joes-as-far-as-I-know -
Vector Database - Elasticsearch Labs
Integrations Generative AI + 2 November 22, 2024 Late chunking...Integrations Generative AI + 2 November 21, 2024 Elasticsearch...www.elastic.co/search-labs/blog/category/vector-database -
TheilSenRegressor — scikit-learn 1.7.dev0 docum...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_samples = 200 , n_features = 2 , noise = 4.0 , random_state =...scikit-learn.org/dev/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
shuffle — scikit-learn 1.6.0 documentation
2)> >>> X_sparse . toarray () array([[0., 0.], [2., 1.],...y array([2, 1, 0]) >>> shuffle ( y , n_samples = 2 , random_state...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
ensemble.rst.txt
make_hastie_10_2 >>> X, y = make_hastie_10_2(random_state=0)...x_1' \implies F(x_1, x_2) \leq F(x_1', x_2) - a **monotonic decrease...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
Generative AI - Elasticsearch Labs
Integrations Generative AI + 2 November 22, 2024 Late chunking...Integrations Generative AI + 2 November 21, 2024 Elasticsearch...www.elastic.co/search-labs/blog/category/generative-ai -
gen_even_slices — scikit-learn 1.6.0 documentation
2, None), slice(2, 4, None), ..., slice(8,...[slice(0, 1, None), slice(1, 2, None), ..., slice(9, 10, None)]...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_even_slices.html -
plot_multi_metric_evaluation.rst.txt
range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2, re...sklearn.datasets import make_hastie_10_2 from sklearn.metrics import accuracy_score,...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
clustering.rst.txt
2, 0, 3, 4, 5, 1] >>> labels_pred = [1, 1, 0, 0, 2, 2, 2,...1, 2, 0, 3, 4, 5, 1] >>> labels_pred = [1, 1, 0, 0, 2, 2, 2,...scikit-learn.org/stable/_sources/modules/clustering.rst.txt