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Outlier detection with Local Outlier Factor (LO...
n_neighbors ) is typically set 1) greater than the minimum number...ground_truth [ - n_outliers :] = - 1 Fit the model for outlier detection...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
RidgeClassifierCV — scikit-learn 1.6.1 document...
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.RidgeClassifierCV.html -
SelectFromModel — scikit-learn 1.6.1 documentation
[ - 1.34 , - 0.48 , - 2.55 ], ... [ 1.92 , 1.48 , 0.65...version 0.20. Changed in version 1.1: max_features accepts a callable....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
TfidfVectorizer — scikit-learn 1.6.1 documentation
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/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html -
MultiTaskElasticNetCV — scikit-learn 1.6.1 docu...
[ 1 , 1 ], [ 2 , 2 ]], ... [[ 0 , 0 ], [ 1 , 1 ], [ 2 ,...with 0 < l1_ratio <= 1. For l1_ratio = 1 the penalty is an L1/L2...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html -
ExtraTreeClassifier — scikit-learn 1.6.1 docume...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html -
PCA — scikit-learn 1.6.1 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...more details. Added in version 1.1. power_iteration_normalizer {‘auto’,...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
LinearSVR — scikit-learn 1.6.1 documentation
intercept term: [x_1, ..., x_n, 1] , where 1 corresponds to the...version 1.3: The "auto" option is added in version 1.3 and will...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html -
GaussianNB — scikit-learn 1.6.1 documentation
([[ - 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.naive_bayes.GaussianNB.html -
LeavePOut — scikit-learn 1.6.1 documentation
3] Test: index=[0 1] Fold 1: Train: index=[1 3] Test: index=[0...index=[1 2] Fold 4: Train: index=[0 2] Test: index=[1 3] Fold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html