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KernelPCA — scikit-learn 1.7.1 documentation
degree = 3 , coef0 = 1 , kernel_params = None , alpha = 1.0 , ...fit_inverse_transform = False , eigen_solver = 'auto' , tol = 0 , max_iter = None...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
LocalOutlierFactor — scikit-learn 1.7.1 documen...
n_neighbors = 20 , * , algorithm = 'auto' , leaf_size = 30 , metric...metric = 'minkowski' , p = 2 , metric_params = None , contamination...scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html -
PassiveAggressiveClassifier — scikit-learn 1.7....
C = 1.0 , fit_intercept = True , max_iter = 1000 , tol = 0.001...n_iter_no_change = 5 , shuffle = True , verbose = 0 , loss = 'hinge' ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html -
StratifiedShuffleSplit — scikit-learn 1.7.1 doc...
n_splits = 10 , * , test_size = None , train_size = None , random_state...( n_splits = 5 , test_size = 0.5 , random_state = 0 ) >>> sss...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
NMF — scikit-learn 1.7.1 documentation
random_state = None , alpha_W = 0.0 , alpha_H = 'same' , l1_ratio = 0.0...n_components = 'auto' , * , init = None , solver = 'cd' , beta_loss...scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
Caching nearest neighbors — scikit-learn 1.7.1 ...
y = load_digits ( return_X_y = True ) n_neighbors_list = [ 1...graph_model = KNeighborsTransforme ( n_neighbors = max ( n_neighbors_list...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
Dimensionality Reduction with Neighborhood Comp...
n_neighbors = 3 random_state = 0 # Load Digits dataset X , y = datasets...stratify = y , random_state = random_state ) dim = len ( X [ 0 ])...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html -
Biclustering documents with the Spectral Co-clu...
stop_words = "english" , min_df = 5 ) cocluster = SpectralCoclustering...random_state = 0 ) kmeans = MiniBatchKMeans ( n_clusters = len ( categories...scikit-learn.org/stable/auto_examples/bicluster/plot_bicluster_newsgroups.html -
LLM observability with Elastic: Taming the LLM ...
hallucinations: ========== Guardrail Assessment ========== **Model Response:**...: 0.03 (Threshold: 0.99) ========== Here, the Grounding Score...www.elastic.co/observability-labs/blog/llm-observability-amazon-bedrock-guardrails -
SparseCoder — scikit-learn 1.7.1 documentation
transform_alpha = None , split_sign = False , n_jobs = None , positive_code...default=None If algorithm='lasso_lars' or algorithm='lasso_cd'...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html