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PLSSVD — scikit-learn 1.8.0 documentation
[ 2. , 2. , 2. ], ... [ 2. , 5. , 4. ]]) >>>...([[ 0.1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9 ], ... [...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
RegressorMixin — scikit-learn 1.8.0 documentation
2 ], [ 2 , 3 ], [ 3 , 4 ]]) >>> y =...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html -
inplace_swap_row — scikit-learn 1.8.0 doc...
2 , 2 ]) >>> data = np . array ([ 8 , 2 , 5 ])...>>> indptr = np . array ([ 0 , 2 , 3 , 3 , 3 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_row.html -
1.6. Nearest Neighbors — scikit-learn 1.8.0 doc...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/neighbors.html -
Thread pool settings | Reference
of allocated processors * 3) / 2) + 1 , and queue_size of 1000...# of allocated processors ) / 2 , and queue_size of 1000 . get...www.elastic.co/docs/reference/elasticsearch/configuration-reference/thread-pool-settings -
make_friedman1 — scikit-learn 1.8.0 documentation
2 ] - 0.5 ) ** 2 + 10 * X [:, 3 ] + 5 *...in Friedman [1] and Breiman [2]. Inputs X are independent features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html -
grid_to_graph — scikit-learn 1.8.0 documentation
'int64' with 2 stored elements and shape (2, 2)> Coords Values...= bool ) >>> mask [[ 1 , 2 ], [ 1 , 2 ], :] = True >>> graph =...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html -
GMM covariances — scikit-learn 1.8.0 documentation
covariances_ [ n ][: 2 , : 2 ] elif gmm . covariance_type...covariances = gmm . covariances_ [: 2 , : 2 ] elif gmm . covariance_type...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
RegressorChain — scikit-learn 1.8.0 documentation
2 ], [ 1 , 1 ], [ 2 , 0 ]] >>> chain = RegressorChain...predict ( X ) array([[0., 2.], [1., 1.], [2., 0.]]) fit ( X , Y ,...scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html -
Ordinary Least Squares and Ridge Regression — s...
[ 2 ]] # Use only one feature X_train...ax = plt . subplots ( ncols = 2 , figsize = ( 10 , 5 ), sharex...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html