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sklearn.decomposition.NMF — scikit-learn 1.4.2 ...
Added 'auto' value. init {‘random’, ‘nndsvd’, ‘nndsvda’, ‘nndsvdar’,...solver {‘cd’, ‘mu’}, default=’cd’ Numerical solver to use: ‘cd’ is...scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
sklearn.metrics.recall_score — scikit-learn 1.4...
average {‘micro’, ‘macro’, ‘samples’, ‘weighted’, ‘binary’} or None,...average = 'binary' , sample_weight = None , zero_division = 'warn'...scikit-learn.org/stable/modules/generated/sklearn.metrics.recall_score.html -
sklearn.model_selection.RandomizedSearchCV — sc...
'kernel' : 'rbf' , 'gamma' : 0.1 }, ... ], } NOTE The key 'params'...rank_test_score ‘rbf’ 0.1 0.80 … 1 ‘rbf’ 0.2 0.84 … 3 ‘rbf’ 0.3 0.70...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
sklearn.ensemble.VotingClassifier — scikit-lear...
voting {‘hard’, ‘soft’}, default=’hard’ If ‘hard’, uses predicted...= [ ... ( 'lr' , clf1 ), ( 'rf' , clf2 ), ( 'gnb' , clf3 )],...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
sklearn.preprocessing.SplineTransformer — sciki...
extrapolation {‘error’, ‘constant’, ‘linear’, ‘continue’, ‘periodic’}, default=’constant’...linear models. order {‘C’, ‘F’}, default=’C’ Order of output array...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
sklearn.decomposition.SparseCoder — scikit-lear...
transform_algorithm {‘lasso_lars’, ‘lasso_cd’, ‘lars’, ‘omp’, ‘threshold’}, default=’omp’...default=’omp’ Algorithm used to transform the data: 'lars' : uses...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
Segmenting the picture of greek coins in region...
used: eigen_solver='arpack', 'lobpcg', or 'amg'. # Choosing eigen_solver='amg'...set eigen_solver='arpack', 'lobpcg', or 'amg' and eigen_tol #...scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html -
sklearn.decomposition.KernelPCA — scikit-learn ...
kernel {‘linear’, ‘poly’, ‘rbf’, ‘sigmoid’, ‘cosine’, ‘precomputed’}...eigen_solver {‘auto’, ‘dense’, ‘arpack’, ‘randomized’}, default=’auto’...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
sklearn.decomposition.MiniBatchDictionaryLearni...
transform_algorithm {‘lasso_lars’, ‘lasso_cd’, ‘lars’, ‘omp’, ‘threshold’}, default=’omp’...fit_algorithm {‘lars’, ‘cd’}, default=’lars’ The algorithm used: 'lars'...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
sklearn.cluster.AgglomerativeClustering — sciki...
linkage {‘ward’, ‘complete’, ‘average’, ‘single’}, default=’ward’...compute_full_tree = 'auto' , linkage = 'ward' , distance_threshold...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html