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SVM: Weighted samples — scikit-learn 1.8....
n_features = 2 , n_informative = 2 , n_redundant = 0 ,..., axes = plt . subplots ( 1 , 2 , figsize = ( 14 , 6 )) plot_decision_function...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
StratifiedKFold — scikit-learn 1.8.0 docu...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...n_splits = 2 ) >>> skf . get_n_splits () 2 >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
Caching nearest neighbors — scikit-learn ...
2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ]..., axes = plt . subplots ( 1 , 2 , figsize = ( 8 , 4 )) axes [...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
model_selection.rst.txt
toctree:: :maxdepth: 2 modules/cross_validation modules/grid_search...scikit-learn.org/stable/_sources/model_selection.rst.txt -
ClusterMixin — scikit-learn 1.8.0 documen...
2 ], [ 2 , 3 ], [ 3 , 4 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.base.ClusterMixin.html -
fbeta_score — scikit-learn 1.8.0 document...
2 , 0 , 1 , 2 ] >>> y_pred = [ 0 , 2 , 1 , 0...\frac{(1 + \beta^2) \text{tp}} {(1 + \beta^2) \text{tp} + \text{fp}...scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html -
Get started with Open Source - IBM Developer
2 Reasoning and Vision models Build...image analysis with Granite 3.2 Reasoning and Vision models Build...developer.ibm.com/get-started/open-source/ -
mean_squared_log_error — scikit-learn 1.8...
2.5 , 7 ] >>> y_pred = [ 2.5 , 5 , 4 , 8...[ 1 , 2 ], [ 7 , 6 ]] >>> y_pred = [[ 0.5 , 2 ], [ 1...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html -
colors.css
--sk-cyan-tint-3: #7ac5ec; --sk-cyan-tint-2: #64bce9; --sk-cyan-tint-1: #4bb4e5;...--sk-cyan-shades-1: #2294c4; --sk-cyan-shades-2: #1c7ea8; --sk-cyan-shades-3:...scikit-learn.org/stable/_static/styles/colors.css -
SGDClassifier — scikit-learn 1.8.0 docume...
loss/||x||**2) . ‘pa2’: passive-aggressive algorithm 2, see [1]...eta = hinge_loss / (||x||**2 + 1/(2 eta0)) . Added in version...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html