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TaKUMA id:TaKUMA

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SVM ã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã®ã—ã‹ãŸï¼ˆï¼’ï¼‰ - ã»ããç¬‘ã‚€
ã•ã¦ã€å‰å›žã¯äº¤å·®æ¤œè¨¼ã®èª¬æ˜Žã§çµ‚ã‚ã£ã¦ã—ã¾ã„ã¾ã—ãŸãŒã€ä»Šå›žã¯ã¡ã‚ƒã‚“ã¨ SVM ã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã®è©±ã‚’ã—ã¾ã™ã€‚ ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã®æ‰‹é †ã¨ã—ã¦ã¯ã€ ã‚°ãƒªãƒƒãƒ‰ã‚µãƒ¼ãƒã§å¤§é›‘æŠŠã«æ¤œç´¢ã™ã‚‹ã€‚ æœ€é©ãªãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ãŒã‚ã‚Šãã†ãªã¨ã“ã‚ã‚’çµžã£ã¦å†ã³ã‚°ãƒªãƒƒãƒ‰ã‚µãƒ¼ãƒã‚’è¡Œã†ã€‚ ã¨ã„ã†2æ®µéšŽã®ã‚°ãƒªãƒƒãƒ‰ã‚µãƒ¼ãƒã‚’è¡Œã„ã¾ã™ã€‚ 1æ®µéšŽç›®ï¼šã‚°ãƒªãƒƒãƒ‰ã‚µãƒ¼ãƒã§å¤§é›‘æŠŠã«æ¤œç´¢ã™ã‚‹ SVM ã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã¯ tune.svm() ã¨ã„ã†é–¢æ•°ã‚’ç”¨ã„ã¦è¡Œã„ã¾ã™ã€‚ ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã®ã‚„ã‚Šæ–¹ã¯ã€å˜ç´”ã«ã‚°ãƒªãƒƒãƒ‰ã‚µãƒ¼ãƒã‚’è¡Œã£ã¦ã„ã‚‹ã ã‘ã§ã™ã€‚ ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ã®å€¤ã‚’ã„ã‚ã„ã‚å¤‰ãˆã¦ã¿ã¦ã€æ£ç”çŽ‡ã®ä¸€ç•ªã„ã„å€¤ã‚’ãƒ™ã‚¹ãƒˆãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ã¨ã—ã¦å‡ºåŠ›ã—ã¾ã™ã€‚ ãƒ—ãƒã‚°ãƒ©ãƒ ã¯ä¸‹è¨˜ã®ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ gammaRange = 10^(-5:5) costRange = 10^(-2:2) t <- tune.svm(Species ~ ., data = iris, gamma=gammaRan
TaKUMA 2016/03/30
SVM

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TaKUMA 2016/03/30
scikit-learn

SVM
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1. SMOå¾¹åº•å…¥é–€ SVMã‚’ã¡ã‚ƒã‚“ã¨å®Ÿè£…ã™ã‚‹ 2013-05-05 Last update: 2013-06-16 Yoshihiko Suhara @sleepy_yoshi 1 v. 1.1 Thank you @a_bicky ã•ã‚“! 2. ãªã‚“ã§ã“ã®è³‡æ–™ã¤ãã£ãŸã®? â€¢ SMOã®è§£èª¬è¨˜äº‹ã‚„ç–‘ä¼¼ã‚³ãƒ¼ãƒ‰ç‰ã‚ã‚‹ã‘ã‚Œã©ï¼Œè‡ªåˆ†ã® é ã§ã¯ãã®æƒ…å ±ã ã‘ã§ç†è§£ã§ããªã‹ã£ãŸã‹ã‚‰ â€¢ SMOã®å®Ÿè£…ã¯éŽåŽ»ã«2å›žã»ã©è¡Œã£ãŸã“ã¨ãŒã‚ã‚‹ â€“ ç–‘ä¼¼ã‚³ãƒ¼ãƒ‰ã‚’ã‚‚ã¨ã«æ‰“ã¡è¾¼ã‚“ã ã ã‘ â€“ å†™çµŒã—ã¦ã‚‚çµå±€ç†è§£ã§ããªã‹ã£ãŸ â€“ ãªãœãã†ã—ã¦ã„ã‚‹ã®ã‹ã‚’ç†è§£ã—ã¦ã„ãªã‹ã£ãŸã“ã¨ãŒåŽŸå› â€¢ ä¸€å¿µç™ºèµ·ã—ã¦æ›´æ–°å¼ã®å°Žå‡ºç‰ã‚’è¡Œã£ãŸã‚‰ã‚ˆã†ã‚„ãã‚ ã‹ã£ãŸæ°—ã«ãªã£ãŸã®ã§GWä¸ã«SMOã‚’å®Ÿè£…ã—ã¦ã¿ãŸ â€“ å¿˜ã‚Œãªã„ã†ã¡ã«è³‡æ–™åŒ– 2
TaKUMA 2016/03/28
SVM
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