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smacof — scikit-learn 1.6.0 documentation
-1.07... ], [ 1.74..., -0.75...], [-1.79..., 1.83...]])...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html -
RegressorChain — scikit-learn 1.6.0 documentation
= [[ 1 , 0 ], [ 0 , 1 ], [ 1 , 1 ]], [[ 0 , 2 ], [ 1 , 1 ], [...order = [ 0 , 1 , 2 , ... , Y . shape [ 1 ] - 1 ] The order of...scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html -
Unreleased | APM Java Agent Reference [1.x] | E...
Release notes Java Agent version 1.x » Elastic Docs › APM: Java Agent...Release notes Java Agent version 1.x » Most Popular Video Get Started...www.elastic.co/guide/en/apm/agent/java/current/_unreleased.html -
PLSSVD — scikit-learn 1.6.0 documentation
1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9...version 1.5: Y is deprecated in 1.5 and will be removed in 1.7. Use...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
safe_sqr — scikit-learn 1.6.0 documentation
safe_sqr >>> safe_sqr ([ 1 , 2 , 3 ]) array([1, 4, 9]) On this page...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_sqr.html -
clone — scikit-learn 1.6.0 documentation
>>> X = [[ - 1 , 0 ], [ 0 , 1 ], [ 0 , - 1 ], [ 1 , 0 ]] >>> y...y = [ 0 , 0 , 1 , 1 ] >>> classifier = LogisticRegression ()...scikit-learn.org/stable/modules/generated/sklearn.base.clone.html -
murmurhash3_32 — scikit-learn 1.6.0 documentation
unsigned int from 0 to 2 ** 32 - 1 False: the results is casted to...from -(2 ** 31) to 2 ** 31 - 1 Examples >>> from sklearn.utils...scikit-learn.org/stable/modules/generated/sklearn.utils.murmurhash3_32.html -
Plotting Cross-Validated Predictions — scikit-l...
ax = axs [ 1 ], random_state = 0 , ) axs [ 1 ] . set_title...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_predict.html -
SkewedChi2Sampler — scikit-learn 1.6.0 document...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...SkewedChi2Sampler ( * , skewedness = 1.0 , n_components = 100 , random_state...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.SkewedChi2Sampler.html -
trustworthiness — scikit-learn 1.6.0 documentation
1]. It is defined as \[T(k) = 1 - \frac{2}{nk (2n...(2n - 3k - 1)} \sum^n_{i=1} \sum_{j \in \mathcal{N}_{i}^{k}}...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html