{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"ds-1000","formal_name":"DS-1000","introduction":"DS-1000 builds 1,000 data-science problems from real StackOverflow questions across seven libraries including NumPy, Pandas and Matplotlib. The problems are perturbed so that recalling the original answer does not solve them.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://ds1000-code-gen.github.io/","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"9dbb1e2e-4fef-5c0e-b0dd-24ef1c075f9c","task_key":"default--test--868","task_revision_id":"1","upstream_id":"868","short_description":"Does scikit-learn provide facility to use SVM for regression, using a gaussian…","config":"default","split":"test","body":"{\"library\":\"Sklearn\",\"prompt\":\"Problem:\\n\\nDoes scikit-learn provide facility to use SVM for regression, using a gaussian kernel? I looked at the APIs and I don't see any. Has anyone built a package on top of scikit-learn that does this?\\nNote to use default arguments\\n\\nA:\\n\\n<code>\\nimport numpy as np\\nimport pandas as pd\\nimport sklearn\\nX, y = load_data()\\nassert type(X) == np.ndarray\\nassert type(y) == np.ndarray\\n# fit, then predict X\\n</code>\\npredict = ... # put solution in this variable\\nBEGIN SOLUTION\\n<code>\\n\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}