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OneHotEncoder — scikit-learn 1.7.1 documentation
Features with 1 or more than 2 categories are left intact. array...(CSR) format. Added in version 1.2: sparse was renamed to sparse_output...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html -
GroupKFold — scikit-learn 1.7.1 documentation
Fold 0: Train: index=[2 3], group=[2 2] Test: index=[0 1 4 5],...group=[0 0 3 3] Test: index=[2 3], group=[2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
make_blobs — scikit-learn 1.7.1 documentation
2) >>> y array([0, 1, 2, 0, 2, 2, 2, 1, 1, 0]) Gallery...shape ) (10, 2) >>> y array([0, 0, 1, 0, 2, 2, 2, 1, 1, 0]) >>>...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html -
RepeatedStratifiedKFold — scikit-learn 1.7.1 do...
index=[1 2] Fold 2: Train: index=[1 3] Test: index=[0 2] Fold 3:...np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
GroupShuffleSplit — scikit-learn 1.7.1 document...
0: Train: index=[2 3 4 5 6 7], group=[2 2 2 3 3 3] Test: index=[0...3 3 3] Test: index=[2 3 4], group=[2 2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
f1_score — scikit-learn 1.7.1 documentation
2 , 0 , 1 , 2 ] >>> y_pred = [ 0 , 2 , 1 , 0 , 0...is: \[\text{F1} = \frac{2 * \text{TP}}{2 * \text{TP} + \text{FP}...scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html -
gen_even_slices — scikit-learn 1.7.1 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 -
webpack-1a3f9c63c773a66f.js
length;i>0&&e[i-1][2]>a;i--)e[i]=e[i-1];e[i]=[o,n,a];return}for(var...i={};e=e||[null,t({}),t([]),t(t)];for(var u=2&n&&o;"object"==typeof u&&!~e....www.elastic.co/events/elasticon/_next/static/chunks/webpack-1a3f9c63c773a66f.js -
1.6. Nearest Neighbors — scikit-learn 1.7.1 doc...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/neighbors.html -
NuSVR — scikit-learn 1.7.1 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...for Support Vector Machines [ 2 ] Platt, John (1999). “Probabilistic...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html