kar9222

My {colorout}

First of all, thank you jalvesaq for the great package! 🙏🙏

If you'd like to colorize R terminal output you can use {jalvesaq/colorout}

I customize extra color patterns for

• base R: class for str
• {data.table} : row id, column class

lilydjwg

#!/usr/bin/python3

from functools import partial

def colors16():
  for bold in [0, 1]:
    for i in range(30, 38):
      for j in range(40, 48):
        print(f'\x1b[{bold};{i};{j}m {bold};{i};{j} |\x1b[0m', end='')
      print()

muktupavels

/*
 * Copyright (C) 2017 Alberts Muktupāvels
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of

indgy

#!/bin/sh

# Speed up boot slightly
sysrc background_dhclient=YES
sysrc -f /boot/loader.conf autoboot_delay=3

# Quieten boot messages
sysrc rc_startmsgs=NO
sysrc -f /boot/loader.conf boot_mute=YES
sysrc -f /boot/loader.conf beastie_disable=YES

olinguyen

GSoC 2017 Final Report: Data Project - Patient Monitoring and Decision Support using Health Data

Name: Olivier Nguyen

Mentors: Lea Goetz, Heiko Strathmann

Organization: Shogun Machine Learning Toolbox

Abstract

xccds

# Learn Gradient Boosting Model by coding

# good slide
# http://www.ccs.neu.edu/home/vip/teach/MLcourse/4_boosting/slides/gradient_boosting.pdf
# http://cran.r-project.org/web/packages/gbm/gbm.pdf

#1 Gradient Boosting for Regression

# generate data
generate_func = function(n=1000,size=0.5){