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1.10. Decision Trees — scikit-learn 1.7.1 docum...
[ 2 , 2 ]] >>> y = [ 0.5 , 2.5 ] >>> clf = tree...samples: >>> clf . predict ([[ 2. , 2. ]]) array([1]) In case that...scikit-learn.org/stable/modules/tree.html -
TransformedTargetRegressor — scikit-learn 1.7.1...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...The function needs to return a 2-dimensional array. inverse_func...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
3.1. Cross-validation: evaluating estimator per...
2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...scikit-learn.org/stable/modules/cross_validation.html -
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 -
AffinityPropagation — scikit-learn 1.7.1 docume...
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...cluster_centers_ array([[1, 2], [4, 2]]) For an example usage, see...scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
roc_auc_score — scikit-learn 1.7.1 documentation
the standardized partial AUC [2] over the range [0, max_fpr] is...under of the ROC as follows: G = 2 * AUC - 1 Where G is the Gini...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
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 -
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 -
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