(source: https://cyberpersons.com/2016/07/27/setup-nat-proxmox/)
Login to your proxmox host ssh, and run:
vi /etc/network/interfaces
(source: https://cyberpersons.com/2016/07/27/setup-nat-proxmox/)
Login to your proxmox host ssh, and run:
vi /etc/network/interfaces
| kwa_rk: | |
| - a | |
| - b | |
| - c | |
| melk: | |
| - 1234 | |
| kaas: | |
| - 12311 |
| #!/var/www/rvm/rubies/ruby-current/bin/ruby | |
| require 'httparty' | |
| GREEN = '1;32m'.freeze | |
| YELLOW = '1;33m'.freeze | |
| RED = '1;31m'.freeze | |
| current_user = 'frbl' | |
| res = HTTParty.get( |
| [connection] | |
| id=eduroam | |
| uuid=<THIS_CAN_BE_AUTOGENERATED> | |
| type=wifi | |
| permissions=user:<PC_USERNAME>:; | |
| [wifi] | |
| mac-address=<MACADDRESS_OF_YOUR_WLAN_CARD> | |
| mac-address-blacklist= | |
| mode=infrastructure |
| set.seed(12345) | |
| library('data.table') | |
| library('xgboost') | |
| ## Create simulation function | |
| give_me_data <- function(nobs, delta = 0.05) { | |
| X_mat <- data.table(A = rnorm(nobs, 0, 1), B = rnorm(nobs, 0, 1)) | |
| probs <- pmax(as.numeric(X_mat$A > 0) - 2*delta, 0) + delta | |
| X_mat <- as.matrix(X_mat) | |
| Y_vals <- rbinom(nobs, 1, probs) |
| library(microbenchmark) | |
| library(data.table) | |
| rbindlist_time <- function() { | |
| data <- data.table(a=c(1),b=c(2)) | |
| for (item in 1:10000) { | |
| data <- rbindlist(data, data.table(a=c(1),b=c(2))) | |
| } | |
| } |
| Osample_p_full <- read.csv('http://frbl.eu/files/gist_ac602828fedba735b4d1e4cb16472cbe.csv') | |
| formula <- Delta ~ W + A | |
| glm_pred <- glm(formula = formula(formula), data = Osample_p_full, family= binomial()) | |
| print(glm_pred) | |
| # Call: glm(formula = formula(formula), family = binomial(), data = Osample_p_full) | |
| # | |
| # Coefficients: | |
| # (Intercept) A W | |
| # 18.378 -19.241 0.379 |
| #!/usr/bin/env Rscript | |
| ## Constrained logistic regression | |
| ## In this gist we create a regression for which the predicted probabilities are contstrained. That is, they can not be | |
| ## less than a minimum of delta, or a maxiumum of 1 - delta. | |
| ## Based on: | |
| ## - https://stats.idre.ucla.edu/r/dae/logit-regression/ | |
| ## - https://github.com/achambaz/tsml.cara.rct/blob/2b2aa282d4a11c601b37cacb368b67d03f6e8fc9/R/misc.R#L440 | |
| ## - https://github.com/achambaz/tsml.cara.rct/blob/fd426c2a6f91b692d379b4765d9900151d09daa6/R/targetGstar.R#L1 |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title></title> | |
| <script src="https://code.jquery.com/jquery-3.2.1.min.js" integrity="sha256-hwg4gsxgFZhOsEEamdOYGBf13FyQuiTwlAQgxVSNgt4=" crossorigin="anonymous"></script> | |
| </head> | |
| <body> | |
| <ul id='data'> | |
| </ul> |
| #!/usr/bin/env sh | |
| lib_dir=~/.R/lib/notebooks | |
| mkdir -p $lib_dir | |
| `sleep 3; open http://127.0.0.1:8888` & | |
| docker run --rm -it \ | |
| -p 127.0.0.1:8888:8888 \ | |
| -v `pwd`:/home/jovyan/work \ | |
| -v $lib_dir:/usr/local/spark-2.1.0-bin-hadoop2.7/R/lib \ | |
| frbl/docker-notebook \ | |
| start-notebook.sh \ |