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make_scorer — scikit-learn 1.8.0 document...
beta = 2 ) >>> ftwo_scorer ma...response_method='predict', beta=2) >>> from sklearn.model_selection...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
Varying regularization in Multi-layer Perceptro...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state.... random . RandomState ( 2 ) X += 2 * rng . uniform ( size =...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html -
Plot classification probability — scikit-...
figsize = ( 4 * 2.2 , n_classifiers * 2.2 ), ) evaluation_results...load_iris () X = iris . data [:, 0 : 2 ] # we only take the first two...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.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 -
average_precision_score — scikit-learn 1....
2 , 2 ]) >>> y_scores = np...], ... [ 0.2 , 0.3 , 0.5 ], ... [ 0.4 , 0.4 , 0.2 ], ... [ 0.1...scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
SpectralBiclustering — scikit-learn 1.8.0...
[ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...SpectralBiclustering ( n_clusters = 2 , random_state = 0 ) . fit ( X...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html -
SVR — scikit-learn 1.8.0 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.SVR.html -
max_error — scikit-learn 1.8.0 documentation
2 , 7 , 1 ] >>> y_pred = [ 4 , 2 , 7 , 1 ]...scikit-learn.org/stable/modules/generated/sklearn.metrics.max_error.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/ -
Recursive feature elimination with cross-valida...
The introduction of 2 additional redundant (i.e. correlated)...n_informative = 3 , n_redundant = 2 , n_repeated = 0 , n_classes =...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html