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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 -
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 -
SparseRandomProjection — scikit-learn 1.5.0 doc...
with probability 1 - 1 / s +sqrt(s) / sqrt(n_components) with...the projected data. If we note s = 1 / density the components of...scikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html -
HalvingGridSearchCV — scikit-learn 1.5.0 docume...
or by setting the cv ’s random_state parameter to an integer....test set. If None, the estimator’s score method is used. refit bool,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html -
QuadraticDiscriminantAnalysis — scikit-learn 1....
corresponds to S^2 / (n_samples - 1) , where S is the diagonal...coming from the SVD of Xk = U S Vt where Xk is the centered matrix...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
3.4. Metrics and scoring: quantifying the quali...
sample \(s\) , i.e. \(y_s := \left\{(s', l) \in y | s' = s\right\}\)...\(\frac{1}{\left|S\right|} \sum_{s \in S} P(y_s, \hat{y}_s)\) \(\fra...scikit-learn.org/stable/modules/model_evaluation.html -
6.2. Feature extraction — scikit-learn 1.5.0 do...
\x00 d \x00 e \x00 s \x00 \x00 G \x00 e \x00 s \x00 a \x00 n \x00...>>> def my_tokenizer ( s ): ... return s . split () ... >>> vectorizer...scikit-learn.org/stable/modules/feature_extraction.html -
model_evaluation.rst.txt
:math:`s`, i.e. :math:`y_s := \left\{(s', l) \in y | s' = s\right\}`...:math:`\frac{1}{\left|S\right|} \sum_{s \in S} P(y_s, \hat{y}_s)` | :math...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
1.1. Linear Models — scikit-learn 1.5.0 documen...
” S. J. Kim, K. Koh, M. Lustig, S. Boyd and D. Gorinevsky,...Least Squares,” S. J. Kim, K. Koh, M. Lustig, S. Boyd and D. Gorinevsky,...scikit-learn.org/stable/modules/linear_model.html