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GaussianProcessClassifier — scikit-learn 1.7.2 ...
Returns : C ndarray of shape (n_samples,)...for classification. Returns : C array-like of shape (n_samples,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
2.5. Decomposing signals in components (matrix ...
C. Sorensen, and C. Yang, (1998) 2.5.3....Inference” M. Hoffman, D. Blei, C. Wang, J. Paisley, 2013 “The varimax...scikit-learn.org/stable/modules/decomposition.html -
plot_pca_iris.py
c=iris.target, s=40, ) ax.set( title="First...scikit-learn.org/stable/_downloads/1168f82083b3e70f31672e7c33738f8d/plot_pca_iris.py -
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TSNE — scikit-learn 1.7.2 documentation
C., Ciccolella, C. O., Anno, R., Halpert,...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
2.9. Neural network models (unsupervised) — sci...
w_{ij}v_ih_j - \sum_i b_iv_i - \sum_j c_jh_j\] In the formula above, \(\mathbf{b}\)...\(\mathbf{b}\) and \(\mathbf{c}\) are the intercept vectors for...scikit-learn.org/stable/modules/neural_networks_unsupervised.html -
plot_pca_iris.ipynb
\n c=iris.target,\n s=40,\n)\n\nax.set(\n...scikit-learn.org/stable/_downloads/46b6a23d83637bf0f381ce9d8c528aa2/plot_pca_iris.ipynb -
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set_config — scikit-learn 1.7.2 documentation
behaviour would be to print ‘SVC(C=1.0, cache_size=200, …)’ with...scikit-learn.org/stable/modules/generated/sklearn.set_config.html -
LinearRegression — scikit-learn 1.7.2 documenta...
Returns : C array, shape (n_samples,) Returns...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html