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1.4. Support Vector Machines — scikit-learn 1.4...
sets the parameter C of class class_label to C * value . The figure...sets the parameter C for the i-th example to C * sample_weight[i]...scikit-learn.org/stable/modules/svm.html -
Model selection: choosing estimators and their ...
"c" , "c" , "c" , "c" , "c" ] >>> k_fold = KFold...True ) >>> svc = svm . SVC ( C = 1 , kernel = 'linear' ) >>>...scikit-learn.org/stable/tutorial/statistical_inference/model_selection.html -
sklearn.svm.NuSVR — scikit-learn 1.4.2 document...
C float, default=1.0 Penalty parameter C of the error...sklearn.svm. NuSVR ( * , nu = 0.5 , C = 1.0 , kernel = 'rbf' , degree...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
Installing the development version of scikit-le...
8 A C/C++ compiler and a matching OpenMP...instructions to install a working C/C++ compiler with OpenMP support...scikit-learn.org/stable/developers/advanced_installation.html -
install.rst.txt
for instance:: C:\Users\username>C:\Users\username\AppD...><span>conda create -n sklearn-env -c conda-forge scikit-learn</span>...scikit-learn.org/stable/_sources/install.rst.txt -
1.8. Cross decomposition — scikit-learn 1.4.2 d...
the cross-covariance matrix \(C = X_k^T Y_k\) . \(u_k\) and \(v_k\)...u_k\) and \(\omega_k = Y_k v_k\) c) Regress \(X_k\) on \(\xi_k\)...scikit-learn.org/stable/modules/cross_decomposition.html -
plot_classifier_comparison.py
C=0.025, random_state=42), SVC(gamma=2, C=1, random_state=42),...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k")...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
2.3. Clustering — scikit-learn 1.4.2 documentation
\sum_{q=1}^k n_q (c_q - c_E) (c_q - c_E)^T\] with \(C_q\) the set of...\[\begin{split}C = \left[\begin{matrix} C_{00} & C_{01} \\ C_{10} & C_{11}...scikit-learn.org/stable/modules/clustering.html -
plot_classifier_comparison.rst.txt
C=0.025, random_state=42), SVC(gamma=2, C=1, random_state=42),...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k")...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
sklearn.metrics.confusion_matrix — scikit-learn...
a confusion matrix \(C\) is such that \(C_{i, j}\) is equal to...negatives is \(C_{0,0}\) , false negatives is \(C_{1,0}\) , true...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html