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Normal, Ledoit-Wolf and OAS Linear Discriminant...
centers = [[ - 2 ], [ 2 ]]) # add non-discriminative...features_samples_ratio , acc_clf1 , linewidth = 2 , label = "LDA" , color = "gold"...scikit-learn.org/stable/auto_examples/classification/plot_lda.html -
plot_classifier_comparison.py
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
feature_extraction.rst.txt
2.0986]}{\sqrt{\big(3^2 + 0^2 + 2.0986^2\big)}} = [...(one_image, (2, 2)) >>> patches.shape (9, 2, 2, 3) >>> patches[4,...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
all_estimators — scikit-learn 1.8.0 docum...
'tuple'> >>> estimators [: 2 ] [('ARDRegression', <class...) >>> classifiers [: 2 ] [('AdaBoostClassifier',...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_estimators.html -
ward_tree — scikit-learn 1.8.0 documentation
s)^2 + \frac{|v|+|t|} {T}d(v,t)^2 - \frac{|v|} {T}d(s,t)^2}\]...array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html -
weighted_mode — scikit-learn 1.8.0 docume...
2 , 4 , 2 ] >>> weights = [...weights ) (array([2.]), array([3.5])) The value 2 has the highest...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.weighted_mode.html -
dict_learning_online — scikit-learn 1.8.0 docum...
X_hat - X ) ** 2 , axis = 1 ) / np . sum ( X ** 2 , axis = 1 ))...dict_learning_online ( X , n_components = 2 , * , alpha = 1 , max_iter = 100...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html -
KNeighborsTransformer — scikit-learn 1.8.0 docu...
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which..., metric = 'minkowski' , p = 2 , metric_params = None , n_jobs...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html -
StratifiedShuffleSplit — scikit-learn 1.8.0 doc...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 ,...Test: index=[0 2 3] Fold 2: Train: index=[5 0 2] Test: index=[4...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
mean_gamma_deviance — scikit-learn 1.8.0 docume...
= [ 2 , 0.5 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...with the power parameter power=2 . It is invariant to scaling of...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_gamma_deviance.html