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mean_absolute_error — scikit-learn 1.7.2 docume...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>> mean_absolute_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
mean_squared_error — scikit-learn 1.7.2 documen...
1 ],[ - 1 , 1 ],[ 7 , - 6 ]] >>> y_pred...y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>> mean_squared_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html -
log_loss — scikit-learn 1.7.2 documentation
p) = -(y \log (p) + (1 - y) \log (1 - p))\] Read more in the..., "spam" ], ... [[ .1 , .9 ], [ .9 , .1 ], [ .8 , .2 ], [ .35...scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html -
QuantileTransformer — scikit-learn 1.7.2 docume...
Added in version 1.5: The option None to disable...all strings. Added in version 1.0. See also quantile_transform...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
defined by: (1 - eps) ||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps) ||u...]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... -
PrecisionRecallDisplay — scikit-learn 1.7.2 doc...
Added in version 1.3. Attributes : line_ matplotlib...not plotted. Added in version 1.3. ax_ matplotlib Axes Axes with...scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
make_circles — scikit-learn 1.7.2 documentation
int64(1), np.int64(1), np.int64(1), np.int64(0), np.int64(0)]...outer circle in the range [0, 1) . Returns : X ndarray of shape...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
make_scorer — scikit-learn 1.7.2 documentation
Added in version 1.4. Deprecated since version 1.6: None is equivalent...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
GaussianProcessClassifier — scikit-learn 1.7.2 ...
1, 3.2, and 5.1 from [RW2006] . Internally,...None is passed, the kernel “1.0 * RBF(1.0)” is used as default. Note...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
Marvel Reference for 2.x and 1.x | Elastic
x and 1.x: 2.1 Marvel Reference for 2.x and 1.x: 2.0 Marvel...Reference for 2.x and 1.x Marvel Reference for 2.x and 1.x: 2.4 Marvel...www.elastic.co/guide/en/marvel/index.html