library(xgboost)
library(dplyr)
params = list(min_child_weight = 0.00001, lambda = 0 )
nrounds = 1
# sparse ---
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#!/bin/bash | |
# this script installs GCC 4.9.3 | |
# to use it navigate to your home directory and type: | |
# sh install-gcc-4.9.3.sh | |
# download and install gcc 4.9.3 | |
wget https://ftp.gnu.org/gnu/gcc/gcc-4.9.3/gcc-4.9.3.tar.gz | |
tar xzf gcc-4.9.3.tar.gz | |
cd gcc-4.9.3 |
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#!/bin/bash | |
sudo apt-get install qt5-default | |
wget http://kcachegrind.sourceforge.net/kcachegrind-0.7.4.tar.gz | |
tar xvf kcachegrind-0.7.4.tar.gz | |
cd kcachegrind-0.7.4 | |
qmake && make | |
sudo install -m 755 qcachegrind/qcachegrind /usr/local/bin | |
sudo install -m 644 qcachegrind/qcachegrind.desktop \ | |
/usr/local/share/applications/ |
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// timer.h | |
#include <iostream> | |
#include <sstream> | |
#ifndef timer_h | |
#define timer_h | |
class timer { | |
private: |
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library(lightgbm) | |
library(tidyverse) | |
rm(list = ls()) | |
# We load the default iris dataset shipped with R | |
data(iris) | |
iris = as_data_frame(iris) %>% | |
mutate(Species = as.numeric(factor(Species)) - 1) %>% |
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#' Install Dependent Packages | |
#' | |
#' @param pkg.dir refers to the package directory that contains the | |
#' \code{Description} file | |
#' @param dependencies defines which dependencies of the dependent packages are | |
#' to be installed | |
#' @param repos is the (CRAN) repository used to install dependencies | |
#' @param lib is the library to which packages are installed | |
install_dep = function(pkg.dir = ".", dependencies = TRUE, repos = getOption("repos")[1], lib = .libPaths()[1]) { | |
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library(xgboost) | |
set.seed(1234) | |
N = 1000 | |
x1 <- runif(N) | |
x <- ifelse(x1 <= 0.2, as.numeric(NA), x1) | |
y <- as.numeric(x1 >= 0.9) | |
bst <- xgboost(data = matrix(x, ncol=1), label = y, | |
objective = "binary:logistic", eval_metric = "logloss", |
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rm(list = ls()) | |
dict.orig = unique(readLines("https://raw.githubusercontent.com/first20hours/google-10000-english/master/google-10000-english.txt")) | |
txt2numeric = function(word.orig, return.orig = TRUE) { | |
word = tolower(word.orig) | |
word = gsub("([^a-z]){1}", 1, word) | |
word = gsub("(a|b|c){1}", 2, word) | |
word = gsub("(d|e|f){1}", 3, word) | |
word = gsub("(g|h|i){1}", 4, word) |
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#ifndef print_mat_h | |
#define print_mat_h | |
void print_mat(arma::mat my_matrix) { | |
uint cols = my_matrix.n_cols; | |
uint rows = my_matrix.n_rows; | |
Rcout << "--------\n"; | |
for(uint rX = 0; rX < rows; rX++) { |
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# making mixture models numerically robust | |
set.seed(4) | |
rm(list = ls()) | |
nobs = 1000 | |
alpha = 0.1 | |
p = runif(nobs, min = 0.0, max = 1.0) | |
q = runif(nobs, min = 0.0, max = 1.0) | |
# naive computation of log-likelihood contribution |
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