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styles.css
mr-2{margin-right:calc(var(--spacing)*2)}.mb-2{margin-b...spacing)*2)}.ml-2{margin-left:calc(var(--spacing)*2)}.ml-4{m...www.elastic.co/docs/_static/styles.css -
Release Highlights for scikit-learn 0.24 — scik...
2. From 1.2, use # PartialDependenceDis..."min_samples_split" : randint ( 2 , 11 ), "bootstrap" : [ True ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
LlamaIndex and Elasticsearch Rerankers: Unbeata...
G16 2 1 - - Gigabyte AORUS 17 3 4 5 4 MSI Stealth 17 4 3 2 3 Alienware...Alienware m18 5 2 1 2 HP Omen 16 - - 3 5 Acer Predator Helios...www.elastic.co/search-labs/blog/elasticsearch-reranker-llamaindex-rankgpt -
1.1. Linear Models — scikit-learn 1.7.1 documen...
x_1 + w_2 x_2 + w_3 x_1 x_2 + w_4 x_1^2 + w_5 x_2^2\] The (sometimes...\([x_1, x_2]\) to \([1, x_1, x_2, x_1^2, x_1 x_2, x_2^2]\) , and...scikit-learn.org/stable/modules/linear_model.html -
DecisionTreeRegressor — scikit-learn 1.7.1 docu...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
GitHub - codelibs/fess-testdata: Test Data Repo...
class="ClipboardButton btn js-clipboard-copy m-2 p-0" data-copy-feedback="Copied!"...octicon-copy js-clipboard-copy-icon m-2"> <path d="M0 6.75C0 5.784.784...github.com/codelibs/fess-testdata -
mean_poisson_deviance — scikit-learn 1.7.1 docu...
y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
mean_absolute_percentage_error — scikit-learn 1...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> m...1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 , 8. ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html -
make_scorer — scikit-learn 1.7.1 documentation
beta = 2 ) >>> ftwo_scorer make_scorer(fbeta_score,...response_method='predict', beta=2) >>> from sklearn.model_selection...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
ElasticNetCV — scikit-learn 1.7.1 documentation
objective is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html