- Sort Score
- Num 10 results
- Language All
- Labels All
Results 91 - 100 of over 10,000 for 1 (0.21 seconds)
Filter
-
ward_tree — scikit-learn 1.8.0 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...children ndarray of shape (n_nodes-1, 2) The children of each non-leaf...scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html -
Beats version 1.3.1 | Beats Platform Reference ...
Release notes Beats version 1.3.1 IMPORTANT : This documentation...documentation . Beats version 1.3.1 View commits Bugfixes Filebeat...www.elastic.co/guide/en/beats/libbeat/8.19/release-notes-1.3.1.html -
johnson_lindenstrauss_min_dim — scikit-le...
by: (1 - eps) ||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps)...]0, 1[ and p is a projection by a random Gaussian N(0, 1) matrix...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
mean_variance_axis — scikit-learn 1.8.0 d...
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2...of CSR or CSC format. axis {0, 1} Axis along which the axis should...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
1.10. Decision Trees — scikit-learn 1.8.0...
- 1 , np . nan , 1 ]) . reshape ( - 1 , 1 ) >>>...[[ 0 , 0 ], [ 1 , 1 ]] >>> Y = [ 0 , 1 ] >>>...scikit-learn.org/stable/modules/tree.html -
hamming_loss — scikit-learn 1.8.0 documen...
1 ], [ 1 , 1 ]]), np . zeros (( 2 , 2...between 0 and 1, lower being better. References [ 1 ] Grigorios...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
Beats version 1.1.1 | Beats Platform Reference ...
« Beats version 1.1.2 Beats version 1.1.0 » Elastic Docs › Beats...953 « Beats version 1.1.2 Beats version 1.1.0 » Most Popular Video...www.elastic.co/guide/en/beats/libbeat/8.19/release-notes-1.1.1.html -
1.6. Nearest Neighbors — scikit-learn 1.8...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...scikit-learn.org/stable/modules/neighbors.html -
KDTree — scikit-learn 1.8.0 documentation
query ( X [: 1 ], k = 3 ) >>> print...indices of 3 closest neighbors [0 3 1] >>> print ( dist ) #...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html -
NearestCentroid — scikit-learn 1.8.0 docu...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html