æ¦è¦ UDFã®å ¥ã£ãjarãç½®ãã ãã§hiveããæ©æ¢°å¦ç¿çãªãã¨ãã§ããããã¸ããæ軽ãªã©ã¤ãã©ãªãhivemallã perceptronãlogistic regressionãªã©ã®ãã¼ã·ãã¯ãªãã®ããAROWãSCWã®ãããªæ¯è¼çæ°ãããã®ãªã©ãå ¥ã£ã¦ãããHiveã®ã¯ã¨ãªã®ã¿ã§åé¡åé¡ãå®çµã§ããã®ã§ãæ©æ¢°å¦ç¿ãå°éã§ãªã人ã§ããããªãã«æ±ãããã«è¦ããã ç¾ç¶ã§ã¯åé¡ã¨å帰ãã§ãã¦ãã¯ã©ã¹ã¿ãªã³ã°ã¯ã§ããªã模æ§ãä»åã¯å帰ãã¡ããã¡ãããããã¦ã¿ãã ãã¹ããã¼ã¿ãä½ã ãã¹ããã¼ã¿çæç¨ã®æ©è½ãç¨æããã¦ãããã©ãä»åã¯Pythonã§çæãã¦tsvãã¡ã¤ã«ã«ãã¦éããã¨ã«ãããä¸è¨ã®ãããªã³ã¼ãã§åé¡ããããããªç¹ã®éã¾ããçæã import numpy as np import pylab as pl n0 = np.random.normal(loc=1.0, scal
{{#tags}}- {{label}}
{{/tags}}