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config_context — scikit-learn 1.7.1 documentation
print ‘SVC()’, but would print ‘SVC(C=1.0, cache_size=200, …)’...float ( 'nan' )]) Traceback (most recent call last): ... ValueError...scikit-learn.org/stable/modules/generated/sklearn.config_context.html -
MetaEstimatorMixin — scikit-learn 1.7.1 documen...
, X , y = None ): ... if self . estimator is None : ... self...self . estimator_ = LogisticRegression () ... else : ... self . estimator_...scikit-learn.org/stable/modules/generated/sklearn.base.MetaEstimatorMixin.html -
make_sparse_coded_signal — scikit-learn 1.7.1 d...
= 50 , ... n_components = 100 , ... n_features = 10 , ... n_nonzero_coefs...= 4 , ... random_state = 0 ... ) >>> data . shape (50, 10) >>>...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_coded_signal.html -
get_data_home — scikit-learn 1.7.1 documentation
get_data_home () >>> os . path . exists ( data_home_path ) True Gallery...examples # Out-of-core classification of text documents Out-of-core...scikit-learn.org/stable/modules/generated/sklearn.datasets.get_data_home.html -
extract_patches_2d — scikit-learn 1.7.1 documen...
load_sample_image ( "china.jpg" ) >>> print ( 'Image shape: {} ' . format...format ( one_image . shape )) Image shape: (427, 640, 3) >>> patches...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.extract_patches_2d.html -
AdaBoostRegressor — scikit-learn 1.7.1 document...
predict ([[ 0 , 0 , 0 , 0 ]]) array([4.7972]) >>> regr . score ( X ,...{‘linear’, ‘square’, ‘exponential’}, default=’linear’ The loss function...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
IsolationForest — scikit-learn 1.7.1 documentation
max_samples = 'auto' , contamination = 'auto' , max_features = 1.0 , bootstrap...from 0.1 to 'auto' . max_features int or float, default=1.0 The...scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html -
3.5. Validation curves: plotting scores to eval...
0.9 , 0.96, 0.9 ], [0.9, 0.83, 0.96, 0.96, 0.93], [1. , 0.93,...0.94, 0.91, 0.89, 0.92], [0.9 , 0.92, 0.93, 0.92, 0.93], [0.97, 1...scikit-learn.org/stable/modules/learning_curve.html -
PCA — scikit-learn 1.7.1 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 -
LatentDirichletAllocation — scikit-learn 1.7.1 ...
evaluate_every = -1 , total_samples = 1000000.0 , perp_tol = 0.1 , mean_change_tol...model.components_ / model.components_.sum(axis=1)[:, np.newaxis]...scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html