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Combined display of all available logs of 太極. You can narrow down the view by selecting a log type, the username (case-sensitive), or the affected page (also case-sensitive).
- 20:28, 19 April 2020 Brb talk contribs uploaded File:Pitopos.png
- 20:28, 19 April 2020 Brb talk contribs created page File:Pitopos.png
- 12:35, 17 April 2020 Brb talk contribs uploaded File:Cvcoxnet.png
- 12:35, 17 April 2020 Brb talk contribs created page File:Cvcoxnet.png
- 19:17, 14 April 2020 Brb talk contribs uploaded File:Meldss.png
- 19:17, 14 April 2020 Brb talk contribs created page File:Meldss.png
- 07:42, 14 April 2020 Brb talk contribs created page Lua (Created page with "= Source = * https://www.lua.org/ * https://en.wikipedia.org/wiki/Lua_(programming_language) = Install on Ubuntu = [https://www.tecmint.com/install-lua-in-centos-ubuntu-linux...")
- 14:55, 13 April 2020 Brb talk contribs uploaded File:Glmnetrelaxcv2.png
- 14:55, 13 April 2020 Brb talk contribs created page File:Glmnetrelaxcv2.png
- 13:27, 13 April 2020 Brb talk contribs uploaded File:Glmnetrelaxcv.png
- 13:27, 13 April 2020 Brb talk contribs created page File:Glmnetrelaxcv.png
- 13:27, 13 April 2020 Brb talk contribs uploaded File:Glmnetrelaxfit.png
- 13:27, 13 April 2020 Brb talk contribs created page File:Glmnetrelaxfit.png
- 12:11, 13 April 2020 Brb talk contribs uploaded File:Glmnet4plotn.png (== Summary == <syntaxhighlight lang='rsplus'> library(glmnet) data(QuickStartExample) cvfit = cv.glmnet(x, y) fit = glmnet(x, y) oldpar <- par(mfrow=c(2,2)) plot(cvfit) # mse vs log(lambda) plot(fit) # coef vs L1 norm plot(fit, xvar = "lambda", label = TRUE) # coef vs log(lambda) plot(fit, xvar = "dev", label = TRUE) # coef vs Fraction Deviance Explained par(oldpar) </syntaxhighlight>)
- 12:11, 13 April 2020 Brb talk contribs created page File:Glmnet4plotn.png (== Summary == <syntaxhighlight lang='rsplus'> library(glmnet) data(QuickStartExample) cvfit = cv.glmnet(x, y) fit = glmnet(x, y) oldpar <- par(mfrow=c(2,2)) plot(cvfit) # mse vs log(lambda) plot(fit) # coef vs L1 norm plot(fit, xvar = "lambda", label = TRUE) # coef vs log(lambda) plot(fit, xvar = "dev", label = TRUE) # coef vs Fraction Deviance Explained par(oldpar) </syntaxhighlight>)
- 12:01, 13 April 2020 Brb talk contribs uploaded File:Glmnet4plot.svg (library(glmnet) data(QuickStartExample) cvfit = cv.glmnet(x, y) fit = glmnet(x, y) oldpar <- par(mfrow=c(2,2)) plot(cvfit) # mse vs log(lambda) plot(fit) # coef vs L1 norm plot(fit, xvar = "lambda", label = TRUE) # coef vs log(lambda) plot(fit, xvar = "dev", label = TRUE) # coef vs Fraction Deviance Explained par(oldpar))
- 12:01, 13 April 2020 Brb talk contribs created page File:Glmnet4plot.svg (library(glmnet) data(QuickStartExample) cvfit = cv.glmnet(x, y) fit = glmnet(x, y) oldpar <- par(mfrow=c(2,2)) plot(cvfit) # mse vs log(lambda) plot(fit) # coef vs L1 norm plot(fit, xvar = "lambda", label = TRUE) # coef vs log(lambda) plot(fit, xvar = "dev", label = TRUE) # coef vs Fraction Deviance Explained par(oldpar))
- 11:54, 16 March 2020 Brb talk contribs uploaded File:NeofetchMac.png
- 11:54, 16 March 2020 Brb talk contribs created page File:NeofetchMac.png
- 10:30, 15 February 2020 Brb talk contribs created page R web (Created page with "R Web Applications See also CRAN Task View: [http://cran.r-project.org/web/views/WebTechnologies.html Web Technologies and Services] = Rmarkdown: create HTML5 web, slides an...")