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1.10. Decision Trees — scikit-learn 1.8.0...
g., in an artificial neural network),...sample_weight , if provided (e.g. a node with m weighted samples...scikit-learn.org/stable/modules/tree.html -
Model selection with Probabilistic PCA and Fact...
color = "g" , label = "TRUTH: %d...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_fa_model_selection.html -
plot_multi_metric_evaluation.rst.txt
["g", "k"]): for sample, style in...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
fastica — scikit-learn 1.8.0 documentation
default=’logcosh’ The functional form of the G function used in the approximation...scikit-learn.org/stable/modules/generated/fastica-function.html -
preprocessing.rst.txt
then :math:`G^{-1}(U)` has distribution :math:`G`. By performing...distribution based on the formula :math:`G^{-1}(F(X))` where :math:`F` is...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
7.2. Feature extraction — scikit-learn 1....
s \x00 \x00 G \x00 e \x00 s \x00 a \x00 n \x00 g \x00 e \x00...possibilities without ordering (e.g. topic identifiers, types of objects,...scikit-learn.org/stable/modules/feature_extraction.html -
7.3. Preprocessing data — scikit-learn 1....
1]\) then \(G^{-1}(U)\) has distribution \(G\) . By performing...distribution based on the formula \(G^{-1}(F(X))\) where \(F\) is the...scikit-learn.org/stable/modules/preprocessing.html -
Probability calibration of classifiers — ...
"g" , linewidth = 3 , label...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
1.1. Linear Models — scikit-learn 1.8.0 d...
\(G(w, v) \geq P(w) - P(w^\star)\) . It is given by \(G(w, v)...naturally non-negative quantities (e.g., frequency counts or prices of...scikit-learn.org/stable/modules/linear_model.html -
NeighborhoodComponentsAnalysis — scikit-l...
G. Hinton, S. Roweis, R. Salakhutdinov....scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html