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2.4. Biclustering — scikit-learn 1.7.0 document...
as follows: \[A_n = R^{-1/2} A C^{-1/2}\] Where \(R\) is the diagonal...to \(\sum_{j} A_{ij}\) and \(C\) is the diagonal matrix with...scikit-learn.org/stable/modules/biclustering.html -
5.1. Partial Dependence and Individual Conditio...
\mathbb{E}_{X_C}\left[ f(x_S, X_C) \right]\\ &= \int f(x_S, x_C) p(x_C)...p(x_C) dx_C,\end{split}\] where \(f(x_S, x_C)\) is the response function...scikit-learn.org/stable/modules/partial_dependence.html -
plot_release_highlights_1_7_0.ipynb
with conda::\n\n conda install -c conda-forge scikit-learn\n" ]...d=False), LogisticRegression(C=2.0))\nmodel" ] }, { "cell_type":...scikit-learn.org/stable/_downloads/b7d178d09f44d400894015228deb0ddb/plot_release_highlights_1_7_0... -
Video Game History Foundation - Wikipedia
( IRS exemption status ): 501(c)(3) Purpose Video game archival...History Foundation[...] ^ a b c . gamehistory.org . from the original...en.wikipedia.org/wiki/Video_Game_History_Foundation -
permutation_test_score — scikit-learn 1.7.0 doc...
calculated as: (C + 1) / (n_permutations + 1) Where C is the number...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
PolynomialFeatures — scikit-learn 1.7.0 documen...
order {‘C’, ‘F’}, default=’C’ Order of output array...include_bias = True , order = 'C' ) [source] # Generate polynomial...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
6. Visualizations — scikit-learn 1.7.0 document...
C = .01 ) clf . fit ( X_train ,...LogisticRegression ( random_state = 42 , C = .01 ) clf . fit ( X_train ,...scikit-learn.org/stable/visualizations.html -
GaussianNB — scikit-learn 1.7.0 documentation
Returns : C ndarray of shape (n_samples,)...The input samples. Returns : C ndarray of shape (n_samples, n_classes)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
ComplementNB — scikit-learn 1.7.0 documentation
Returns : C ndarray of shape (n_samples,)...The input samples. Returns : C ndarray of shape (n_samples, n_classes)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
feature_selection.rst.txt
the parameter C controls the sparsity: the smaller C the fewer features...(150, 4) >>> lsvc = LinearSVC(C=0.01, penalty="l1", dual=False).fit(X,...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt