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SGDRegressor — scikit-learn 1.6.1 documentation
l1_ratio <= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....True , verbose = 0 , epsilon = 0.1 , random_state = None , learning_rate...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
LocallyLinearEmbedding — scikit-learn 1.6.1 doc...
n_neighbors > n_components * (1 + (n_components + 1) / 2 . see reference...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
BaggingRegressor — scikit-learn 1.6.1 documenta...
max_samples = 1.0 , max_features = 1.0 , bootstrap = True...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
KMeans — scikit-learn 1.6.1 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...X = np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html -
HashingVectorizer — scikit-learn 1.6.1 document...
ngram_range of (1, 1) means only unigrams, (1, 2) means unigrams...\\w\\w+\\b' , ngram_range=(1 , 1) , analyzer='word' , n_features=1048576...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html -
1.2. Linear and Quadratic Discriminant Analysis...
equal to \(\frac{1}{n - 1} X_k^tX_k = \frac{1}{n - 1} V S^2 V^t\)...\frac{1}{(2\pi)^{d/2} |\Sigma_k|^{1/2}}\exp\left(-\frac{1}{2} (x-\mu_k)^t...scikit-learn.org/stable/modules/lda_qda.html -
RidgeCV — scikit-learn 1.6.1 documentation
1, 1.0, 10.0) , * , fit_intercept...shape (n_alphas,), default=(0.1, 1.0, 10.0) Array of alpha values...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
TheilSenRegressor — scikit-learn 1.6.1 document...
since version 1.6: copy_X was deprecated in 1.6 and will be removed...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
Normalizer — scikit-learn 1.6.1 documentation
1 , 2 , 2 ], ... [ 1 , 3 , 9 , 3 ], ... [...0.4, 0.4], [0.1, 0.3, 0.9, 0.3], [0.5, 0.7, 0.5, 0.1]]) fit ( X...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html -
FixedThresholdClassifier — scikit-learn 1.6.1 d...
y_true is in {-1, 1} or {0, 1} , pos_label is set to 1, otherwise...... n_samples = 1_000 , weights = [ 0.9 , 0.1 ], class_sep = 0.8...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html