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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 -
weighted_mode — scikit-learn 1.8.0 docume...
2 , 4 , 2 ] >>> weights = [...weights ) (array([2.]), array([3.5])) The value 2 has the highest...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.weighted_mode.html -
indexable — scikit-learn 1.8.0 documentation
2 , 3 ], np . array ([ 2 , 3 , 4 ]), None ,...indexable ( * iterables ) [[1, 2, 3], array([2, 3, 4]), None, <...Sparse...dtype...scikit-learn.org/stable/modules/generated/sklearn.utils.indexable.html -
OPTICS — scikit-learn 1.8.0 documentation
2 (1999): 49-60. [ 2 ] Schubert, Erich, Michael...>>> X = np . array ([[ 1 , 2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.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 -
Plot the decision surface of decision trees tra...
2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ], [ 2 , 3 ]]): #...boundary ax = plt . subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.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.... -
MiniBatchNMF — scikit-learn 1.8.0 documen...
||H||_{Fro}^2,\end{aligned}\end{align} \] where \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html -
linear_model.rst.txt
\frac{n}{2} \log(2 \pi) - \frac{n}{2} \log(\sigma^2) - \frac{\sum_{i=1}^{n}...- \hat{y}_i)^2}{2\sigma^2} where :math:`\sigma^2` is an estimate...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
Face completion with a multi-output estimators ...
n_pixels // 2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test.... figure ( figsize = ( 2.0 * n_cols , 2.26 * n_faces )) plt ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html