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murmurhash3_32 — scikit-learn 1.8.0 docum...
to a signed int from -(2 ** 31) to 2 ** 31 - 1 Examples >>>...to an unsigned int from 0 to 2 ** 32 - 1 False: the results is...scikit-learn.org/stable/modules/generated/sklearn.utils.murmurhash3_32.html -
grid_to_graph — scikit-learn 1.8.0 docume...
'int64' with 2 stored elements and shape (2, 2)> Coords Values...>>> mask [[ 1 , 2 ], [ 1 , 2 ], :] = True >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html -
Lars — scikit-learn 1.8.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_nonzero_coefs = 500 , eps = np.float64(2.220446049250313e-16) , copy_X...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
SGD: convex loss functions — scikit-learn...
= ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0 return...linspace ( xmin , xmax , 100 ) lw = 2 plt . plot ([ xmin , 0 , 0 , xmax...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
make_circles — scikit-learn 1.8.0 documen...
n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...ndarray of shape (n_samples, 2) The generated samples. y ndarray...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
Compressive sensing: tomography reconstruction ...
x - l / 2.0 ) ** 2 + ( y - l / 2.0 ) ** 2 < ( l / 2.0 ) **...** 2 mask = np . zeros (( l , l )) points = l * rs . rand ( 2 ,...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html -
test.tex
\begin{equation} x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} \end{equation} Einstein's...equation: \begin{equation} E = mc^2 \end{equation} \section{Lists...raw.githubusercontent.com/codelibs/fess-testdata/master/files/latex/test.tex -
Comparison between grid search and successive h...
1e-2 , 1e-3 , 1e-4 , 1e-5 , 1e-6 ,...param_grid = param_grid , factor = 2 , random_state = rng ) gsh . fit...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
Feature agglomeration vs. univariate selection ...
selection # This example compares 2 dimensionality reduction strategies:.... randn ( n_samples , size ** 2 ) for x in X : # smooth data x...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
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