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feature_extraction.rst.txt
_feature_extraction: ========== Feature extraction ========== .. currentmodule::...Loading features from dicts ========== The class :class:`DictVectorizer`...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
Explicit feature map approximation for RBF kern...
kernel_svm = svm . SVC ( gamma = 0.2 ) linear_svm = svm . LinearSVC...feature_map_fourier = RBFSampler ( gamma = 0.2 , random_state = 1 ) feature_map_nystroem...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
Effect of transforming the targets in regressio...
y = make_regression ( n_samples = 10_000 , noise = 100 ,...ax1 ) = plt . subplots ( 1 , 2 , sharey = True ) ridge_cv = RidgeCV...scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html -
make_multilabel_classification — scikit-learn 1...
n_labels = 2 , length = 50 , allow_unlabeled = True , sparse = False...n_samples = 100 , n_features = 20 , * , n_classes = 5 , n_labels...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html -
quantile_transform — scikit-learn 1.6.1 documen...
( loc = 0.5 , scale = 0.25 , size = ( 25 , 1 )), axis = 0 ) >>>..., axis = 0 , n_quantiles = 1000 , output_distribution = 'uniform'...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html -
7.3. Generated datasets — scikit-learn 1.6.1 do...
ax2 ) = plt . subplots ( nrows = 1 , ncols = 2 , figsize = ( 8...make_blobs X , y = make_blobs ( centers = 3 , cluster_std = 0.5 , random_state...scikit-learn.org/stable/datasets/sample_generators.html -
Novelty detection with Local Outlier Factor (LO...
X_outliers = np . random . uniform ( low =- 4 , high = 4 , size = ( 20...1 ], c = "blueviolet" , s = s , edgecolors = "k" ) c = plt . scatter...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html -
RocCurveDisplay — scikit-learn 1.6.1 documentation
pos_label = None , name = None , ax = None , plot_chance_level = False...roc_auc = None , estimator_name = None , pos_label = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html -
SGDOneClassSVM — scikit-learn 1.6.1 documentation
nu = 0.5 , fit_intercept = True , max_iter = 1000 , tol = 0.001...0.001 , shuffle = True , verbose = 0 , random_state = None , learning_rate...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDOneClassSVM.html -
radius_neighbors_graph — scikit-learn 1.6.1 doc...
mode = 'connectivity' , metric = 'minkowski' , p = 2 , metric_params...metric_params = None , include_self = False , n_jobs = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.neighbors.radius_neighbors_graph.html