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check_is_fitted — scikit-learn 1.5.0 documentation
default=None Attribute name(s) given as string or a list/tuple...error message is, “This %(name)s instance is not fitted yet. Call...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_is_fitted.html -
plot_discretization_strategies.py
set_title("strategy='%s'" % (strategy,), size=14) i +=...scikit-learn.org/stable/_downloads/43e84df0b93ff974da370e8da900f2ee/plot_discretization_strategie... -
kmeans_plusplus — scikit-learn 1.5.0 documentation
S. “k-means++: the advantages of...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
3.1. Cross-validation: evaluating estimator per...
print ( " %s %s " % ( train , test )) [2 3]...split ( X ): ... print ( " %s %s " % ( train , test )) ... [2...scikit-learn.org/stable/modules/cross_validation.html -
IncrementalPCA — scikit-learn 1.5.0 documentation
T * S**2 * components_ + sigma2 * eye(n_features) where S**2 contains...<component>__<parameter> so that it’s possible to update each component...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
DictVectorizer — scikit-learn 1.5.0 documentation
iterable over Mappings Dict(s) or Mapping(s) from feature names (arbitrary...iterable over Mappings Dict(s) or Mapping(s) from feature names (arbitrary...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
auto_examples_python.zip
plot_samples(S, axis_list=None): plt.scatter( S[:, 0], S[:, 1], s=2, marker="o",...np.random.normal(size=S.shape) # Add noise S /= S.std(axis=0) # Standardize...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
4.1. Partial Dependence and Individual Conditio...
point \(x_S\) is defined as: \[\begin{split}pd_{X_S}(x_S) &\overset{def}{=}...\mathbb{E}_{X_C}\left[ f(x_S, X_C) \right]\\ &= \int f(x_S, x_C) p(x_C) dx_C,\end{split}\]...scikit-learn.org/stable/modules/partial_dependence.html -
6.6. Random Projection — scikit-learn 1.5.0 doc...
probability} & 1 - 1 / s \\ +\sqrt{\frac{s}{n_{\text{components}}}}...projected data. If we define s = 1 / density , the elements of...scikit-learn.org/stable/modules/random_projection.html -
2.3. Clustering — scikit-learn 1.5.0 documentation
k) \leftarrow s(i, k) - max [ a(i, k') + s(i, k') \forall k'...Coefficient s for a single sample is then given as: \[s = \frac{b...scikit-learn.org/stable/modules/clustering.html