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JavaScriptã‚’æ¨ã¦ã¦Pythonã§Webãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰ã‚’æ›¸ã„ã¦ã¿ã‚ˆã†! - Qiita
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kanbayashi 2017/02/24
python

brython

javascript
ãƒªãƒ³ã‚¯
ãƒ–ãƒ©ã‚¦ã‚¶ä¸Šã§å‹•ãPythonã®å®Ÿè£…Brythonï¼šæ¦‚è¦ã¨åŸºæœ¬çš„ãªä½¿ã„æ–¹ : ã¯ã‚€å‰(ã®ã‚“ã³ã‚Š)ã®é›‘è¨˜å¸³
ãƒˆãƒƒãƒ—ãƒšãƒ¼ã‚¸ ã“ã®ãƒ–ãƒã‚°ã«ã¤ã„ã¦ ã¯ã‚€å‰ã«ã¤ã„ã¦ ãŠã¾ã‹ã›è¡¨ç¤º Pythonã®å®Ÿè£…ã¨ã—ã¦ã¯ã€ãŠé¦´æŸ“ã¿ã®CPythonã‚’ã¯ã˜ã‚ã¨ã—ã¦ã€IronPython, Jython, PyPyãªã©æ§˜ã€…ãªã‚‚ã®ãŒã‚ã‚Šã¾ã™ã€‚ãã®ä¸ã§ã‚‚Brythonã¯ã€å‹•ä½œç’°å¢ƒãŒFirefoxã‚„Chromeãªã©ã®ã‚¦ã‚§ãƒ–ãƒ–ãƒ©ã‚¦ã‚¶ã¨ã„ã†ç‚¹ã§ã€ç‰¹ç†ã™ã¹ãå®Ÿè£…ã§ã™ã€‚ã“ã®è¨˜äº‹ã§ã¯ã€Brythonã®æ¦‚è¦ã«è§¦ã‚ŒãŸå¾Œã§ã€ã”ãç°¡å˜ãªã‚¦ã‚§ãƒ–ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚’ä¸€ä¾‹ã¨ã—ã¦ã€Brythonã®ä½¿ã„æ–¹ã«ã¤ã„ã¦è¿°ã¹ã¾ã™ã€‚ ä»¥å‰ã®è¨˜äº‹ã§è¿°ã¹ãŸã‚ˆã†ã«ã€ç§ã¯ã‚¹ãƒžãƒ›ã‚¢ãƒ—ãƒªã€Žå£å…ˆç•ªé•·ã€ã«ãŠã‘ã‚‹å˜èªžã®å¾—ç‚¹ã‚’è¨ˆç®—ã™ã‚‹ãƒ„ãƒ¼ãƒ«ã‚’JavaScriptã§ä½œã‚Šã¾ã—ãŸã€‚ãã®éš›ã«ã¯ã€jQueryã‚„lodashã‚’ã¯ã˜ã‚ã¨ã™ã‚‹å„ç¨®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’ä½¿ç”¨ã™ã‚‹ã“ã¨ã§ã€ã„ãã¶ã‚“è² æ‹…ã‚’è»½æ¸›ã™ã‚‹ã“ã¨ãŒã§ãã¾ã—ãŸã€‚ã¨ã¯ã„ã†ã‚‚ã®ã®ã€JavaScriptã®è¨€èªžä»•æ§˜ï¼ˆä¾‹ï¼šã€Œã‚¯ãƒ©ã‚¹ã€ã€thisã®æŒ™å‹•ï¼‰ã‚„ã€ãƒ–ãƒ©ã‚¦ã‚¶
kanbayashi 2017/02/03
brython

python

browser

javascript
ãƒªãƒ³ã‚¯
Python nose ã§ãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆã‚’æ›¸ã„ã¦ã¿ãŸ / æ¡ƒç¼¶é£Ÿã¹ãŸã„ã€‚
Python nose ã§ãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆã‚’æ›¸ã„ã¦ã¿ãŸ chocolab logâ€‚ã¯â€‚Pythonâ€‚ã§æ›¸ã‹ã‚Œã¦ã„ã¾ã™ãŒã€ã“ã‚Œã¾ã§ã‚ã¾ã‚Šãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆã®æ•´å‚™ã«æ™‚é–“ã‚’å‰²ã„ã¦ã“ã‚Œã¾ã›ã‚“ã§ã—ãŸã€‚ã—ã‹ã—åˆæœŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®é–‹ç™ºã‹ã‚‰â€‚2â€‚å¹´ä»¥ä¸ŠãŒçµŒã¡ã€ãã®é–“ã«ä½•åº¦ã‹â€‚sqlite3â€‚ã‚’ã¨ã‚Šã¾ãâ€‚DBâ€‚ã‚¢ã‚¯ã‚»ã‚¹éƒ¨åˆ†ã‚’ä¸å¿ƒã«ã€å‡¦ç†ã‚’æ›¸ãæ›ãˆã¦ã„ã¾ã™ã€‚ä»–ã®ãƒã‚¸ãƒƒã‚¯ã¯ã¨ã‚‚ã‹ãã€ã‚³ã‚¢ã¨ãªã‚‹ã‚³ãƒ¼ãƒ‰ã¯ã—ã£ã‹ã‚Šå‹•ä½œã‚’æ‹…ä¿ã—ã¦ãŠãã¹ãã ãªã¨æ„Ÿã˜ã€ãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆã®æ•´å‚™ã«ç€æ‰‹ã™ã‚‹ã“ã¨ã«ã—ã¾ã—ãŸã€‚ Pythonâ€‚ã§ã¯â€‚2.1â€‚ç§»è¡Œã€ãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ã¨ã—ã¦â€‚unittestâ€‚ãŒçµ„ã¿è¾¼ã¾ã‚Œã¦ã„ã¾ã™ã€‚ã“ã‚Œã¯å€‹äººçš„ã«å¤§å¥½ããªâ€‚JUnitâ€‚ã‚’ãƒ™ãƒ¼ã‚¹ã«ä½œã‚‰ã‚Œã¦ã„ã‚‹ãã†ã§ã™ã€‚ãŸã ãƒãƒƒãƒˆä¸Šã§ç›®ã«ã—ãŸâ€‚Pythonâ€‚ç³»ã®ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã§ã¯ã€ã“ã®â€‚uniittestâ€‚ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã§ã¯ãªãâ€‚noseâ€‚ã¨ã„ã†ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’ä½¿ã£ã¦ãƒ†ã‚¹ãƒˆã‚³
kanbayashi 2016/12/08
python

django

test

testing

unit test
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Python, Django ç•Œéšˆã®å˜ä½“ãƒ†ã‚¹ãƒˆäº‹æƒ…ï¼ˆunittest / nose / django-noseï¼‰ - akiyoko blog
å‰ã€…ã‹ã‚‰ã€Python, Django ç•Œéšˆã®å˜ä½“ãƒ†ã‚¹ãƒˆäº‹æƒ…ã‚’ã¾ã¨ã‚ãŸã„ã¨æ€ã£ã¦ã„ãŸã®ã§ã™ãŒã€ã“ã‚“ãªç´ æ•µãªã¾ã¨ã‚è¨˜äº‹ã‚’è¦‹ã¤ã‘ã¾ã—ãŸã€‚ Pythonç”¨ã®ãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆãƒ„ãƒ¼ãƒ«ã¾ã¨ã‚ | TRIVIAL TECHNO LOGIES 4 @ats ã®ã‚¤ã‚¯ãƒ¡ãƒ³æ—¥è¨˜ ã“ã®è¨˜äº‹ã§ã¯ã€unittest, unittest2, doctest, py.test, nose ã®ã»ã‹ã€ãã‚Œã“ãèžã„ãŸã“ã¨ã®ãªã„ã‚ˆã†ãªã‚‚ã®ã¾ã§å–ã‚Šä¸Šã’ã¦ãã‚Œã¦ã„ã‚‹ã®ã§ã™ãŒã€ä»Šå›žã¯ã€è‡ªåˆ†ã§ä½¿ã„ãã†ãªç¯„å›²ã®ãƒ†ã‚¹ãƒˆãƒ„ãƒ¼ãƒ«ã«ã¤ã„ã¦å°‘ã—ãƒ‡ã‚£ãƒ¼ãƒ—ã«ã¾ã¨ã‚ã¦ã¿ã‚ˆã†ã¨æ€ã„ã¾ã™ã€‚ å–ã‚Šä¸Šã’ã‚‹ã®ã¯ã€ä»¥ä¸‹ã® 4ç¨®é¡žï¼ˆã€ŒDjango + unittestã€ã‚’ unittest ã¨ã—ã¦ã‚«ã‚¦ãƒ³ãƒˆã™ã‚‹ã¨ 3ç¨®é¡žï¼‰ã®ãƒ†ã‚¹ãƒˆãƒ„ãƒ¼ãƒ«ã§ã™ã€‚ ã»ã‹ã«ã‚‚ã€pytest ã‚„ doctest ã‚‚å–ã‚Šä¸Šã’ãŸã‹ã£ãŸã®ã§ã™ãŒã€ã¾ã ä½¿ã£ãŸã“ã¨ãŒãªã‹ã£ãŸã®ã§å‰²æ„›ã—ã¾ã™ï¼ˆå¾Œã§æ›¸ãã“ã¨ã«ãªã‚‹ã‹
kanbayashi 2016/12/08
python

test

testing

unit test

django
ãƒªãƒ³ã‚¯
Pythonç”¨ã®ãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆãƒ„ãƒ¼ãƒ«ã¾ã¨ã‚ â€” TRIVIAL TECHNOLOGIES 2.0
ã¿ã‚“ãªã®IoT/ã¿ã‚“ãªã®Pythonã®è‘—è€…ã€‚äºŒåçŽ‰è¿‘ã160å¹³ç±³ã®åºä»˜ãä¸€æˆ¸å»ºã¦ã«å«/æ¯å/å¨˜/ã‚ã‚“ã“ã¨æš®ã‚‰ã—ã¦ã¾ã™ã€‚æœˆé–“1000ä¸‡PV/150ä¸‡UUã®Webã‚µãƒ¼ãƒ“ã‚¹é‹å–¶ä¸ã€‚ å…è²¬äº‹é … ãƒ—ãƒ©ã‚¤ãƒã‚·ãƒ¼ãƒãƒªã‚·ãƒ¼ ã¿ãªã•ã‚“ãƒ†ã‚¹ãƒˆã—ã¦ã¾ã™ã‹ï¼Ÿ Pythonã«ã¯æ²¢å±±ã®ä¾¿åˆ©ã§ã‚¹ãƒ†ã‚ãªãƒ†ã‚¹ãƒˆãƒ„ãƒ¼ãƒ«ãŒã‚ã‚Šã¾ã™ã€‚æ¨™æº–ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã«å…¥ã£ã¦ã„ã‚‹unittestã‚„ã‚¢ã‚¸ãƒ£ã‚¤ãƒ«ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒ†ãƒ¼ã‚·ãƒ§ãƒ³ã¨ã‚‚å‘¼ã°ã‚Œã‚‹doctestãªã©ï¼Œæ¨™æº–ã®æ©Ÿèƒ½ã ã‘ã§ã‚‚ã‹ãªã‚Šå¼·åŠ›ãªã®ã§ã™ãŒï¼Œå¤–éƒ¨ã®ãƒ„ãƒ¼ãƒ«ã‚’ä½¿ã†ã¨ã‚ˆã‚Šå¿«é©ãªãƒ†ã‚¹ãƒˆãƒ©ã‚¤ãƒ•ãŒé€ã‚Œã‚‹ã®ã§ã™ã€‚ python.orgã«ã‚ã‚‹Python testing tools taxonomy(Pythonç”¨ãƒ†ã‚¹ãƒˆãƒ„ãƒ¼ãƒ«ã®ã¾ã¨ã‚)ã¨ã„ã†ãƒšãƒ¼ã‚¸ãŒã‚ã‚Šï¼Œã“ã“ã«æœ‰ç›Šãªæƒ…å ±ãŒé›†ã¾ã£ã¦ã„ã‚‹ã®ã§ä¾‹ã«ã‚ˆã£ã¦è¶…è¨³ã—ã¦ã¿ã¾ã—ãŸ(ãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆé–¢é€£ã®ã¿)ã€‚ ãƒ„ãƒ¼ãƒ« ã‚«ãƒ†ã‚´ãƒª ä½œè€… ãƒ„ãƒ¼ãƒ«ãŒå«ã¾ã‚Œã‚‹ãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ãªã© ç‰¹å¾´
kanbayashi 2016/12/08
python

unit test

test

testing

django
ãƒªãƒ³ã‚¯
pythonã§websocketã‚’ä½¿ã£ãŸãƒãƒ¼ã‚«ãƒ¼ã®ã‚²ãƒ¼ãƒ ã‚µãƒ¼ãƒ chat-holdemã‚’ä½œã£ãŸ - Ryoã®é–‹ç™ºæ—¥è¨˜ Neo!
http://qiita.com/ryo_grid/it ems/d472bcd078ec9acc20cc
kanbayashi 2016/10/17
python

websocket

poker

ã‚»ãƒ«ã‚¯ãƒž
ãƒªãƒ³ã‚¯
pythonã®geventã¨ã‚„ã‚‰ã§websocket - Blanktar
">Copy<!DOCTYPE html> <html> <head> <script> function init() { ws = new WebSocket('ws://localhost:8080/chat'); ws.onmessage = function(e) { document.getElementById('holder').innerHTML += '<p>' + e.data + '</p>\n'; }; document.getElementById('send').onclick = function send(){ ws.send(document.getElementById('message').value); document.getElementById('message').value = '' }; } </script> <style> #sen
kanbayashi 2016/10/15
chat

holdem

python

websocket
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Sign in - Google Accounts
Not your computer? Use a private browsing window to sign in. Learn more about using Guest mode
kanbayashi 2016/03/12
python

mt4

mql

system trade
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ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒˆãƒ¬ãƒ¼ãƒ‰ã®å¼·åŒ–å¦ç¿’ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã«ã¤ã„ã¦èª¿ã¹ã¦ã¿ãŸ - Qiita
Nekopuniã•ã‚“ã®ãƒ–ãƒã‚°ã«è§¦ç™ºã•ã‚Œã¦è¶£å‘³ã¨å®Ÿç›Šã‚’å…¼ãã¦å¼·åŒ–å¦ç¿’ã‚’ç”¨ã„ãŸã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒˆãƒ¬ãƒ¼ãƒ‰ã«ã¤ã„ã¦èª¿ã¹ã¦ã¿ã¾ã—ãŸã€‚ æ›¸ã„ã¦ã„ã‚‹å†…å®¹ã«ã¯å…¨ãè‡ªä¿¡ãŒã‚ã‚Šã¾ã›ã‚“ï¼ˆç‰¹ã«ã‚³ãƒ¼ãƒ‰ï¼‰ã€‚è‡ªåˆ†ç”¨ã®ãƒ¡ãƒ¢ãŒä¸»ãªç”¨é€”ã§ã™ãŒã€ã—ã‚‡ã¼ã„ã‚µãƒ¼ãƒ™ã‚¤è³‡æ–™ã¨ã—ã¦å‚è€ƒã«ãªã‚Œã°ã‚ã‚ŠãŒãŸã„ã§ã™ã€‚ å‚è€ƒè³‡æ–™ An Automated FX Trading System Using Adaptive Reinforcement Learning[å‚è€ƒæ–‡çŒ®1]ã€€â† RRLã«ã‚ˆã‚‹æœ€é©åŒ– Design of an FX trading system using Adaptive Reinforcement Learning[å‚è€ƒæ–‡çŒ®2] â† ä¸Šã®è«–æ–‡ã®è¦ç´„ãƒ‘ãƒ¯ãƒ Algorithm Trading using Q-Learning and Recurrent Reinforcement Learning[å‚è€ƒæ–‡çŒ®3]ã€€â† Q-learn
kanbayashi 2015/07/29
fx

system trade

python

signal

zipline

trade

finance
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Trading VXX with nearest neighbors prediction
An experienced trader knows what behavior to expect from the market based on a set of indicators and their interpretation. The latter is often done based on his memory or some kind of model. Finding a good set of indicators and processing their information poses a big challenge. First, one needs to understand what Â factors are correlated to future prices. Data that does not have any predictive qua
kanbayashi 2015/07/29
fx

system trade

python

signal

zipline

trade

finance
ãƒªãƒ³ã‚¯
TA-Lib
About This is a Python wrapper for TA-LIB based on Cython instead of SWIG. From the homepage: TA-Lib is widely used by trading software developers requiring to perform technical analysis of financial market data. Includes 150+ indicators such as ADX, MACD, RSI, Stochastic, Bollinger Bands, etc. Candlestick pattern recognition Open-source API for C/C++, Java, Perl, Python and 100% Managed .NET The
kanbayashi 2015/07/28
ta-lib

pyalgotrade

system trade

fx

python
ãƒªãƒ³ã‚¯
Quandlã‚’åˆ©ç”¨ã—ã¦å…ˆç‰©ãƒãƒ³ã‚°ã‚ªãƒ³ãƒªãƒ¼ç³»åˆ—ã‚’ä½œæˆã™ã‚‹ â€“ Momentum
æ¦‚è¦ ãƒ»Quandlã‹ã‚‰å„é™æœˆã®å…ˆç‰©ä¾¡æ ¼ã‚’å–å¾—ã—ã€æœˆæœ«ãƒãƒ¼ãƒªãƒ³ã‚°ã§ã®ãƒªã‚¿ãƒ¼ãƒ³ç³»åˆ—ã‚’ä½œæˆã™ã‚‹ ãƒ»Quandlã®ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆæœŸè¿‘ç³»åˆ—ãã®ã‚‚ã®ã¯å®Ÿç¾å¯èƒ½ãªãƒªã‚¿ãƒ¼ãƒ³ã§ã¯ãªã„ Quandlã®å…ˆç‰©ãƒãƒ¼ãƒ«æ–¹æ³•ã«ã¤ã„ã¦ Quandlã«ã¯æœŸè¿‘ã®ä¾¡æ ¼ç³»åˆ—ãŒã™ã§ã«ã‚ã‚‹ã®ã§ã™ãŒã€ãã‚Œã‚’ç”¨ã„ã¦åˆ†æžã™ã‚‹å ´åˆå°‘ã—å•é¡ŒãŒã‚ã‚Šã¾ã™ã€‚ Continuous Contracts â€“ Data from Quandl https://www.quandl.com/c/futures/continuous Quandlâ€™s continuous contracts are created using the simplest possible roll algorithm: â€œend-to-end concatenationâ€. That is to say, CL1 is always the crude oil contract
kanbayashi 2015/07/22
python

system trade

fx
ãƒªãƒ³ã‚¯
PyAlgoTrade - Algorithmic Trading
Python Algorithmic Trading Library PyAlgoTrade is a Python Algorithmic Trading Library with focus on backtesting and support for paper-trading and live-trading. Letâ€™s say you have an idea for a trading strategy and youâ€™d like to evaluate it with historical data and see how it behaves. PyAlgoTrade allows you to do so with minimal effort. Quickstart (deprecated) Basana Quickstart Main features Fully
kanbayashi 2015/07/22
fx

system trade

python

zipline
ãƒªãƒ³ã‚¯
Frontline compliance management for healthcare | Zipline
Ensure all your visitors are compliant with self-serve check-ins, automatic evidence collection, verification and powerful reporting.
kanbayashi 2015/07/20
zipline

trading

fx

python

trade

system trade

finance
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pythonã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒˆãƒ¬ãƒ¼ãƒ‰ãƒ©ã‚¤ãƒ–ãƒ©ãƒª - Qiita
pythonã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒˆãƒ¬ãƒ¼ãƒ‰ãƒ©ã‚¤ãƒ–ãƒ©ãƒª pythonã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒˆãƒ¬ãƒ¼ãƒ‰ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’ã„ãã¤ã‹ç´¹ä»‹ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ç§ãŒä»Šå›žèª¿ã¹ãŸã®ã¯ä»¥ä¸‹ã®4ã¤ã§ã™ã€‚ zip line PyAlgoTrade pybacktest backtrader zip line githubã§ã¯3ã¤ã®ä¸ã§ä¸€ç•ªæ˜Ÿã®æ•°ãŒå¤šã„ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã™ã€‚ä½¿ã„æ–¹ã®å‚è€ƒã¨ã—ã¦ã€ä¾‹é¡Œã«ã‚‚ã‚ã‚‹DMAã‚’ä½¿ã£ãŸã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒˆãƒ¬ãƒ¼ãƒ‰ã®ã‚³ãƒ¼ãƒ‰ã‚’è¦‹ã¦ã¿ã¾ã™ã€‚ import pytz from datetime import datetime import zip line as zp start = datetime(1990, 1, 1, 0, 0, 0, 0, pytz.utc) end = datetime(2002, 1, 1, 0, 0, 0, 0, pytz.utc) data = zp.utils.factory.load_from_
kanbayashi 2015/07/19
python

system trade

finance

fx

money

investment

trade

algorithm trade

qiita
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Keras Documentation
Keras is now available for JAX, TensorFlow, and PyTorch! Read the Keras 3.0 release announcement "Keras is one of the key building blocks in YouTube Discovery's new modeling infrastructure. It brings a clear, consistent API and a common way of expressing modeling ideas to 8 teams across the major surfaces of YouTube recommendations." Maciej Kula Staff Software Engineer - Google "Keras has tremendo
kanbayashi 2015/06/28
keras

deep learning

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kdd cup 2015

python

theano

machine learning
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# -*- coding: utf-8 -*- from sklearn import datasets from sklearn.cross_validation import train_test_split from sklearn.grid_search import GridSearchCV from sklearn.metrics import classification_report, confusion_matrix from sklearn.svm import SVC ## ãƒ‡ãƒ¼ã‚¿ã®èªã¿è¾¼ã¿ digits = datasets.load_digits() X = digits.data y = digits.target ## ãƒˆãƒ¬ãƒ¼ãƒ‹ãƒ³ã‚°ãƒ‡ãƒ¼ã‚¿ã¨ãƒ†ã‚¹ãƒˆãƒ‡ãƒ¼ã‚¿ã«åˆ†å‰²ï¼Ž X_train, X_test, y_train, y_test = train_test_spli
kanbayashi 2015/06/24
scikit-learn

random forest

kdd cup

kdd cup 2015

python

data mining

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grid search
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Tatsu's Blog
Co-Founder, Ex-CTO of Connehito, Inc.Angel investorSoftware Engineer, Ph.D.Please see more details here PostsStartup in LATAM â‘¤ : Mexico, the largest Spanish-speaking market in LATAM, shaping ambitious startupsMay 03, 2021 Read post â†’Startup in LATAM â‘£ : Unicorn from Colombia, fueled by the economic crisis in neighboring VenezuelaFeb 23, 2021 Read post â†’My view on the Good and Ugly of Impact Inves
kanbayashi 2015/06/24
scikit-learn

random forest

kdd cup

kdd cup 2015

python

data mining

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Pythonã«ã‚ˆã‚‹Deep Learningã®å®Ÿè£…ï¼ˆDeep Belief Nets ç·¨ï¼‰ - Yusuke Sugomori's Blog
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kanbayashi 2014/02/15
deep learning

python

dbn

deep belief nets
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Sikuli Project
kanbayashi 2013/09/19
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sikuli

mit

python

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