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Neighborhood Components Analysis Illustration &...
n_features = 2 , n_informative = 2 , n_redundant = 0 ,...fit ( X , y ) plt . figure ( 2 ) ax2 = plt . gca () X_embedded...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
1.9. Naive Bayes — scikit-learn 1.7.2 doc...
\frac{1}{\sqrt{2\pi\sigma^2_y}} \exp\left(-\frac{(x_i - \mu_y)^2}{2\sigma^2_y}\right)\]...of a total 75 points : 4 1.9.2. Multinomial Naive Bayes # MultinomialNB...scikit-learn.org/stable/modules/naive_bayes.html -
One-Class SVM versus One-Class SVM using Stocha...
2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html -
Lasso on dense and sparse data — scikit-l...
values lower than 2.5 with 0s Xs [ Xs < 2.5 ] = 0.0 # create...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
3.3. Tuning the decision threshold for class pr...
DecisionTreeClassifi ( max_depth = 2 , random_state = 0 ) . fit ( X...best_score_ np.float64(0.86) 3.3.1.2. Important notes regarding the...scikit-learn.org/stable/modules/classification_threshold.html -
Missing Value Imputation — scikit-learn 1...
Examples concerning the sklearn.impute module. Imputing missing values before building an estimator Imputing missing values with variants of IterativeImputerscikit-learn.org/stable/auto_examples/impute/index.html -
Kernel Density Estimation — scikit-learn ...
This example shows how kernel density estimation (KDE), a powerful non-parametric density estimation technique, can be used to learn a generative model for a dataset. With this generative model in ...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html -
Support Vector Machines — scikit-learn 1....
Examples concerning the sklearn.svm module. One-class SVM with non-linear kernel (RBF) Plot classification boundaries with different SVM Kernels Plot different SVM classifiers in the iris dataset P...scikit-learn.org/stable/auto_examples/svm/index.html -
Demo of HDBSCAN clustering algorithm — sc...
2 , 0.35 , 1.35 , 1.35 ], random_state...fig , axes = plt . subplots ( 2 , 1 , figsize = ( 10 , 8 )) params...scikit-learn.org/stable/auto_examples/cluster/plot_hdbscan.html -
7.6. Random Projection — scikit-learn 1.7...
2. Gaussian random projection #...scikit-learn.org/stable/modules/random_projection.html