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plot_classifier_comparison.zip
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/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip -
1.1. Linear Models — scikit-learn 1.8.0 documen...
\frac{n}{2} \log(2 \pi) - \frac{n}{2} \log(\sigma^2) - \frac{\sum_{i=1}^{n}...(y_i - \hat{y}_i)^2}{2\sigma^2}\] where \(\sigma^2\) is an estimate...scikit-learn.org/stable/modules/linear_model.html -
grid_search.rst.txt
+--------- | 3 * 2 = 6 | 70 // 2 = 35 | +--------- | 6 * 2 = 12 | 35...35 // 2 = 17 | +--------- | 12 * 2 = 24 | 17 // 2 = 8 | +---------...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
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 -
GMM covariances — scikit-learn 1.8.0 documentation
covariances_ [ n ][: 2 , : 2 ] elif gmm . covariance_type...covariances = gmm . covariances_ [: 2 , : 2 ] elif gmm . covariance_type...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
Comparing anomaly detection algorithms for outl...
make_blobs ( centers = [[ 2 , 2 ], [ - 2 , - 2 ]], cluster_std = [...make_blobs ( centers = [[ 2 , 2 ], [ - 2 , - 2 ]], cluster_std = [...scikit-learn.org/stable/auto_examples/miscellaneous/plot_anomaly_comparison.html -
PolynomialFeatures — scikit-learn 1.8.0 documen...
degree-2 polynomial features are [1, a, b, a^2, ab, b^2]. Read...etc. excluded: x[0] ** 2 , x[0] ** 2 * x[1] , etc. include_bias...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
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 -
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