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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 -
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 -
oas — scikit-learn 1.7.1 documentation
>>> X = rng . multivariate_normal ( mean = [ 0 , 0 ], cov = real_cov...>>> rng = np . random . RandomState ( 0 ) >>> real_cov = [[ .8...scikit-learn.org/stable/modules/generated/oas-function.html -
Debugging Azure Networking for Elastic Cloud Se...
ENV{INTERFACE}=="en*", ENV{ID_NET_DRIVER}=="mlx5_core", RUN+="/sbin/ethtool...--colors=java --hash --title=aks-k8s-node-1 --width=1440 --minwidth=0.005...www.elastic.co/observability-labs/blog/debugging-aks-packet-loss -
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 -
lasso_path — scikit-learn 1.7.1 documentation
precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...y , * , eps = 0.001 , n_alphas = 100 , alphas = None , precompute...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html -
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 -
Regularization path of L1- Logistic Regression ...
classification X = X [ y != 2 ] y = y [ y != 2 ] Compute regularization...datasets iris = datasets . load_iris () X = iris . data y = iris . target...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.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 -
img_to_graph — scikit-learn 1.7.1 documentation
mask=None , return_as=<class 'scipy.sparse._coo.coo_matrix'>...width, channel), dtype=bool, default=None An optional mask of...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html