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governance.rst.txt
way, they are a contributor. Core Contributors ---------- All...relevant to their roles. Contributors ---------- Contributors are community...scikit-learn.org/stable/_sources/governance.rst.txt -
TweedieRegressor — scikit-learn 1.7.2 documenta...
intercept ). link {‘auto’, ‘identity’, ‘log’}, default=’auto’ The link...np.float64(0.839) >>> clf . coef_ array([0.599, 0.299]) >>> clf...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
PolynomialFeatures — scikit-learn 1.7.2 documen...
) array([[ 1., 0., 1., 0.], [ 1., 2., 3., 6.], [ 1., 4., 5.,...1., 2., 3., 4., 6., 9.], [ 1., 4., 5., 16., 20., 25.]]) >>> poly...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
BernoulliRBM — scikit-learn 1.7.2 documentation
array ([[ 0 , 0 , 0 ], [ 0 , 1 , 1 ], [ 1 , 0 , 1 ], [ 1 , 1 , 1 ]])...learning_rate = 0.1 , batch_size = 10 , n_iter = 10 , verbose = 0 , random_state...scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html -
mutual_info_regression — scikit-learn 1.7.2 doc...
Sets”. PLoS ONE 9(2), 2014. [ 4 ] L. F. Kozachenko, N. N. Leonenko,...42 ... ) >>> mutual_info_regression ( X , y ) array([0.117, 2.645,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
median_absolute_error — scikit-learn 1.7.2 docu...
= [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>..., 1 ], [ 7 , - 6 ]] >>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8...scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html -
load_iris — scikit-learn 1.7.2 documentation
data . target [[ 10 , 25 , 50 ]] array([0, 0, 1]) >>> list ( data...data . target_names ) [np.str_('setosa'), np.str_('versicolor'),...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html -
PCA — scikit-learn 1.7.2 documentation
version 1.1. power_iteration_normalizer {‘auto’, ‘QR’, ‘LU’, ‘none’},...‘covariance_eigh’, ‘arpack’, ‘randomized’}, default=’auto’ “auto” : The...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
2.9. Neural network models (unsupervised) — sci...
belief nets” , G. Hinton, S. Osindero, Y.-W. Teh, 2006 “Training...= \frac{1}{1 + e^{-x}}\] 2.9.1.3. Stochastic Maximum Likelihood...scikit-learn.org/stable/modules/neural_networks_unsupervised.html -
TfidfVectorizer — scikit-learn 1.7.2 documentation
\\w+\\b' , ngram_range=(1 , 1) , max_df=1.0 , min_df=1 , max_features=None...'word' . analyzer {‘word’, ‘char’, ‘char_wb’} or callable, default=’word’...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html