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1.11. Ensembles: Gradient boosting, random fore...
F(x_i))}{\partial F(x_i)} \right]_{F=F_{m - 1}}.\]...\frac{\partial l(y_i, F(x_i))}{\partial F(x_i)} \right]_{F=F_{m - 1}}\)...scikit-learn.org/stable/modules/ensemble.html -
sklearn.gaussian_process.kernels.Hyperparameter...
in sorted ( params ): print ( f " { key } : { params [ key ] }...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html -
decomposition.rst.txt
F. Bach, J. Ponce, G. Sapiro, 2009..._ R. Jenatton, G. Obozinski, F. Bach, 2009 .. _kernel_PCA: Kernel...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
sklearn.feature_selection.SelectKBest — scikit-...
See also f_classif ANOVA F-value between label/feature...for classification tasks. f_regression F-value between label/feature...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html -
sklearn.metrics.classification_report — scikit-...
F-measure and support for each class....scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
preprocessing.rst.txt
formula :math:`G^{-1}(F(X))` where :math:`F` is the cumulative distribution...distribution function :math:`F` then :math:`F(X)` is uniformly distributed...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
sklearn.preprocessing.SplineTransformer — sciki...
‘F’}, default=’C’ Order of output...output array in the dense case. 'F' order is faster to compute, but...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
sklearn.svm.l1_min_c — scikit-learn 1.4.2 docum...
random_state = 42 ) >>> print ( f " { l1_min_c ( X , y , loss =...scikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html -
sklearn.neural_network.MLPClassifier — scikit-l...
returns f(x) = x ‘logistic’, the logistic...logistic sigmoid function, returns f(x) = 1 / (1 + exp(-x)). ‘tanh’,...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
6.2. Feature extraction — scikit-learn 1.4.2 do...
\xff\xfe A \x00 u \x00 f \x00 \x00 F \x00 l \x00\xfc\x00 g \x00...\x00 i \x00 c \x00 h \x00 \x00 f \x00 o \x00 r \x00 t \x00 " >>>...scikit-learn.org/stable/modules/feature_extraction.html