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confusion_matrix_at_thresholds — scikit-l...
array([2., 1., 1., 0.]) >>> fps array([0., 1., 1., 2.])...>>> tps array([1., 1., 2., 2.]) >>> thresholds array([0.8...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix_at_thresholds.html -
KNeighborsRegressor — scikit-learn 1.8.0 ...
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
Better Binary Quantization (BBQ) in Lucene and ...
< 0 ) + ( 2 < < 1 ) + ( 1 < < 2 ) + ( 2 < <...<< 0) + (2 << 1) + (1 << 2) + (2 << 3) =...www.elastic.co/search-labs/blog/better-binary-quantization-lucene-elasticsearch -
Gradient Boosting regularization — scikit...
2, max_features=2" , "magenta"..."learning_rate" : 0.2 , "max_features" : 2 }, ), ]: params...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
spectral_clustering — scikit-learn 1.8.0 ...
[2] . Read more in the User Guide...be avoided. Added in version 1.2: Added ‘auto’ option. assign_labels...scikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html -
cluster_optics_dbscan — scikit-learn 1.8....
2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8... ( ... X , ... min_samples = 2 , ... max_eps = np . inf , ......scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html -
Importance of Feature Scaling — scikit-le...
section we select a subset of 2 features that have values with...) = plt . subplots ( ncols = 2 , figsize = ( 12 , 6 )) fit_and_plot_model...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
kmeans_plusplus — scikit-learn 1.8.0 docu...
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...array([[10, 2], [ 1, 0]]) >>> indices array([3, 2]) Gallery...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
Comparison of Calibration of Classifiers —...
only 2 are informative, 2 are redundant (random...20 , n_informative = 2 , n_redundant = 2 , random_state = 42 )...scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html -
PowerTransformer — scikit-learn 1.8.0 doc...
2 ], [ 3 , 2 ], [ 4 , 5 ]] >>>...0 and lambda_ != 2 : X_original = 1 - ( - ( 2 - lambda_ ) * X...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html