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Nitrous oxide - Wikipedia
^ Mason C, Stoof C, Richards B, Das S, Goodale C, Steenhuis...Buckminsterfullerene (C 60 , C 60 + , fullerene, buckyball) C 70 fullerene...en.wikipedia.org/wiki/Nitrous_oxide -
7.4. Loading other datasets — scikit-learn 1.4....
target ) array(['c-CS-m', 'c-CS-s', 'c-SC-m', 'c-SC-s', 't-CS-m',...2015 **Please cite**: Higuera C, Gardiner KJ, Cios KJ (2015) Self-Organizing...scikit-learn.org/stable/datasets/loading_other_datasets.html -
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 -
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.ipynb
C=0.025, random_state=42),\n SVC(gamma=2, C=1, random_state=42),\n...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
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 -
3.2. Tuning the hyper-parameters of an estimato...
Typical examples include C , kernel and gamma for Support...param_grid : param_grid = [ { 'C' : [ 1 , 10 , 100 , 1000 ], 'kernel'...scikit-learn.org/stable/modules/grid_search.html -
sklearn.datasets.make_multilabel_classification...
choose a class c: c ~ Multinomial(theta) pick the...a word: w ~ Multinomial(theta_c) In the above process, rejection...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html -
grid_search.rst.txt
= [ {'C': [1, 10, 100, 1000], 'kernel': ['linear']}, {'C': [1,...classes. Typical examples include ``C``, ``kernel`` and ``gamma`` for...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
clustering.rst.txt
\sum_{q=1}^k n_q (c_q - c_E) (c_q - c_E)^T with :math:`C_q` the set...math:: C = \left[\begin{matrix} C_{00} & C_{01} \\ C_{10} & C_{11}...scikit-learn.org/stable/_sources/modules/clustering.rst.txt