1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # # µû¶óÇÏ¸ç ¹è¿ì´Â ÆÄÀ̽ã°ú µ¥ÀÌÅͰúÇÐ(»ý´ÉÃâÆÇ»ç 2020) # 14.10 üÁú·®Áö¼ö¿Í ´ç´¢¼öÄ¡´Â ¾î¶² »ó°ü°ü°è°¡ ÀÖÀ»±î, 379ÂÊ # from sklearn import datasets from sklearn import linear_model import numpy as np regr = linear_model.LinearRegression() # ´ç´¢º´ µ¥ÀÌÅÍ ¼¼Æ®¸¦ sklearnÀÇ µ¥ÀÌÅÍÁýÇÕÀ¸·ÎºÎÅÍ ÀоîµéÀδÙ. diabetes = datasets.load_diabetes() X = diabetes.data[:, np.newaxis, 2] regr.fit(X, diabetes.target) # ÇнÀÀ» ÅëÇÑ ¼±Çüȸ±Í ¸ðµ¨À» »ý¼º print(regr.coef_, regr.intercept_) | cs |