{"library":"scikit-datasets","title":"scikit-datasets","description":"scikit-datasets provides a collection of ready-to-use datasets compatible with scikit-learn, wrapping common benchmarks like MNIST, CIFAR, and more. Version 0.2.5, updated irregularly.","language":"python","status":"active","last_verified":"Fri May 01","install":{"commands":["pip install scikit-datasets"],"cli":null},"imports":["from skdata import load_mnist","from skdata import load_cifar10"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"from skdata import load_mnist\nfrom sklearn.svm import SVC\n\ndata = load_mnist()\nX, y = data.data, data.target\nclf = SVC().fit(X, y)\nprint(clf.score(X, y))","lang":"python","description":"Loads MNIST and fits an SVM classifier.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}