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dcg_score — scikit-learn 1.8.0 documentation
log_base = 2 , sample_weight = None , ignore_ties...outputs. log_base float, default=2 Base of the logarithm used for...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
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 -
7.4. Imputation of missing values — scikit-lear...
2. Univariate feature imputation...'mean' ) >>> imp . fit ([[ 1 , 2 ], [ np . nan , 3 ], [ 7 , 6 ]])...scikit-learn.org/stable/modules/impute.html -
Linear and Quadratic Discriminant Analysis with...
[ 2.5 , 0.7 ]]) * 2.0 cov_class_2 = cov_class_1.... Ellipse ( mean , 2 * v [ 0 ] ** 0.5 , 2 * v [ 1 ] ** 0.5 ,...scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.html -
GroupShuffleSplit — scikit-learn 1.8.0 document...
0: Train: index=[2 3 4 5 6 7], group=[2 2 2 3 3 3] Test: index=[0...3 3 3] Test: index=[2 3 4], group=[2 2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
Beginner's guide to Python
then try the following: >>> 2 + 2 Copy code You should get the...1 , 2 , 3 , 4 , 5 , 6 ] evens = [n for n in nums if n % 2 == 0...developer.ibm.com/tutorials/python-beginners-guide/ -
Matern — scikit-learn 1.8.0 documentation
\frac{1}{\Gamma(\nu)2^{\nu-1}}\Bigg( \frac{\sqrt{2\nu}}{l} d(x_i ,...the RBF kernel. When \(\nu = 1/2\) , the Matérn kernel becomes...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
SVC — scikit-learn 1.8.0 documentation
[ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>> y = np...np . array ([ 1 , 1 , 2 , 2 ]) >>> from sklearn.svm import SVC...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
Overview of multiclass training meta-estimators...
code_size = 2 ) cv_results_tree = cross_validate..., X , y , cv = cv , n_jobs = 2 ) cv_results_ovo = cross_validate...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html