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LogisticRegression — scikit-learn 1.7.dev0 docu...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights..., C = 1.0 , fit_intercept = True , intercept_scaling = 1 , class_weight...scikit-learn.org/dev/modules/generated/sklearn.linear_model.LogisticRegression.html -
QuadraticDiscriminantAnalysis — scikit-learn 1....
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
ColumnTransformer — scikit-learn 1.7.dev0 docum...
1. , 2. , 2. ], ... [ 1. , 1. , 0. , 1. ]]) >>> #...scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn.org/dev/modules/generated/sklearn.compose.ColumnTransformer.html -
EllipticEnvelope — scikit-learn 1.6.0 documenta...
n_features + 1) / 2 * n_samples . Range is (0, 1). contamination...>>> # predict returns 1 for an inlier and -1 for an outlier >>>...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
RFE — scikit-learn 1.7.dev0 documentation
ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) property...float, default=1 If greater than or equal to 1, then step corresponds...scikit-learn.org/dev/modules/generated/sklearn.feature_selection.RFE.html -
OneVsRestClassifier — scikit-learn 1.6.0 docume...
as a 2D binary (0/1) matrix, where [i, j] == 1 indicates the presence...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html -
TfidfVectorizer — scikit-learn 1.7.dev0 documen...
ngram_range=(1 , 1) , max_df=1.0 , min_df=1 , max_features=None...ngram_range of (1, 1) means only unigrams, (1, 2) means unigrams...scikit-learn.org/dev/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html -
BayesianGaussianMixture — scikit-learn 1.6.0 do...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [...mixtures”. Bayesian analysis 1.1 Examples >>> import numpy as...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
KFold — scikit-learn 1.6.0 documentation
3] Test: index=[0 1] Fold 1: Train: index=[0 1] Test: index=[2...X = np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
MLPRegressor — scikit-learn 1.6.0 documentation
1 , beta_1 = 0.9 , beta_2 = 0.999 ,...sigmoid function, returns f(x) = 1 / (1 + exp(-x)). ‘tanh’, the hyperbolic...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html