{"library":"scikit-learn-extra","title":"scikit-learn-extra","description":"A set of additional estimators and tools for scikit-learn, including K-Medoids, EigenPro, and Fastfood. Current version: 0.3.0 (released Oct 2021). Releases are infrequent; the project is in maintenance mode.","language":"python","status":"maintenance","last_verified":"Mon Apr 27","install":{"commands":["pip install scikit-learn-extra"],"cli":null},"imports":["from sklearn_extra.cluster import KMedoids","from sklearn_extra.kernel_approximation import EigenPro","from sklearn_extra.kernel_approximation import Fastfood"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"from sklearn_extra.cluster import KMedoids\nimport numpy as np\nX = np.array([[1, 2], [1, 4], [1, 0], [4, 2], [4, 4], [4, 0]])\nkmedoids = KMedoids(n_clusters=2, random_state=0).fit(X)\nprint(kmedoids.labels_)","lang":"python","description":"Fit K-Medoids clustering on a small dataset and print cluster labels.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}