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Version 1.3 — scikit-learn 1.4.2 documentation
Version 1.3 Version 1.3.2 Changelog sklearn.datasets...sklearn.metrics sklearn.tree Version 1.3.1 Changed models Changes impacting...scikit-learn.org/stable/whats_new/v1.3.html -
Tweedie regression on insurance claims — scikit...
tweedie_powers = [ 1.5 , 1.7 , 1.8 , 1.9 , 1.99 , 1.999 , 1.9999 ] scores_product_model...dev p=1.9990 1.914573e+03 1.914370e+03 1.914538e+03 1.914387e+03...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
Older Versions — scikit-learn 1.4.2 documentation
1 Meng Xinfan 1 Rob Zinkov 1 Shiqiao 1 Udi Weinsberg 1 Virgile...Cournapeau 1 Keith Goodman 1 Ludwig Schwardt 1 Olivier Hervieu 1 Sergio...scikit-learn.org/stable/whats_new/older_versions.html -
Version 1.4 — scikit-learn 1.4.2 documentation
Version 1.4 Version 1.4.2 Version 1.4.1.post1 Metadata...2. Version 1.4.1.post1 February 2024 Note The 1.4.1.post1 release...scikit-learn.org/stable/whats_new/v1.4.html -
Developing scikit-learn estimators — scikit-lea...
clf3 = SVC ([[ 1 , 2 ], [ 2 , 3 ]], [ - 1 , 1 ]) # WRONG! The...be modified if param1 > 1 : param2 += 1 self . param1 = param1...scikit-learn.org/stable/developers/develop.html -
3.1. Cross-validation: evaluating estimator per...
1.1. Computing cross-validated metrics 3.1.1.1. The cross_validate...3.1.2.1.1. K-fold 3.1.2.1.2. Repeated K-Fold 3.1.2.1.3. Leave One Out...scikit-learn.org/stable/modules/cross_validation.html -
Out-of-core classification of text documents — ...
()[ 1 ], rotation = 30 ) ymax = max ( cls_runtime ) * 1.2 ax...Menu Prev Up Next scikit-learn 1.4.2 Other versions Please cite...scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html -
sklearn.preprocessing.StandardScaler — scikit-l...
( data )) [[-1. -1.] [-1. -1.] [ 1. 1.] [ 1. 1.]] >>> print (...0 , 0 ], [ 0 , 0 ], [ 1 , 1 ], [ 1 , 1 ]] >>> scaler = StandardScaler...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html -
2.3. Clustering — scikit-learn 1.4.2 documentation
1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...0 , 0 , 1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/clustering.html -
sklearn.tree.DecisionTreeClassifier — scikit-le...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html