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1.6. Nearest Neighbors — scikit-learn 1.4.2 doc...
Neighbors 1.6.1.1. Finding the Nearest Neighbors 1.6.1.2. KDTree...([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...scikit-learn.org/stable/modules/neighbors.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 -
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 -
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 -
Version 1.2 — scikit-learn 1.4.2 documentation
is deprecated in 1.2.1 and will be removed in 1.5. Instead, import...use the software. Version 1.2 Version 1.2.2 Changelog sklearn.base...scikit-learn.org/stable/whats_new/v1.2.html -
3.3. Metrics and scoring: quantifying the quali...
1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,..., 0 , 1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,...scikit-learn.org/stable/modules/model_evaluation.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 -
1.11. Ensembles: Gradient boosting, random fore...
Boosting 1.11.1.1.1. Usage 1.11.1.1.2. Missing values support 1.11.1.1.3....Features Support 1.11.1.1.5. Monotonic Constraints 1.11.1.1.6. Interaction...scikit-learn.org/stable/modules/ensemble.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 -
2.5. Decomposing signals in components (matrix ...
([[ 1 , 0 ], [ 1 , 6.1 ], [ 1 , 0 ], [ 1 , 4 ], [ 3.2 , 1 ], [...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/decomposition.html