keon

// load all files in models dir
fs.readdirSync(__dirname + '/app/models').forEach(function(filename){
	if (~filename.indexOf('.js')) require(__dirname + '/app/models/' + filename)
});

keon

### USAGE
###
### ./ElasticSearch.sh 1.5.0 will install Elasticsearch 1.5.0
### ./ElasticSearch.sh 1.4.4 will install Elasticsearch 1.4.4
### ./ElasticSearch.sh will fail because no version was specified (exit code 1)
###
### CLI options Contributed by @janpieper
### Check http://www.elasticsearch.org/download/ for latest version of ElasticSearch

### ElasticSearch version

keon

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.

keon

keon@ubuntu:~/Downloads/kernels$ wget http://archive.ubuntu.com/ubuntu/pool/main/l/linux/linux-{image,image-extra,headers}-4.4.0-17-generic_4.4.0-17.33_amd64.deb--2016-04-02 23:50:35--  http://archive.ubuntu.com/ubuntu/pool/main/l/linux/linux-image-4.4.0-17-generic_4.4.0-17.33_amd64.deb
Resolving archive.ubuntu.com (archive.ubuntu.com)... 91.189.88.153, 91.189.91.15, 91.189.91.13, ...
Connecting to archive.ubuntu.com (archive.ubuntu.com)|91.189.88.153|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 18566294 (18M) [application/x-debian-package]
Saving to: ‘linux-image-4.4.0-17-generic_4.4.0-17.33_amd64.deb’

100%[============================================================>] 18,566,294  1.56MB/s   in 13s    

2016-04-02 23:50:48 (1.38 MB/s) - ‘linux-image-4.4.0-17-generic_4.4.0-17.33_amd64.deb’ saved [18566294/18566294]

keon

  // Load Data and Labels in double types
  data::Load(inputFile, data, true);
  data::Load(inputLabel, labels, true);
  arma::rowvec labels_row = labels.row(0); // extract first row

  // Split Data
  const auto value = data::TrainTestSplit(data, labels_row, testRatio);
  Log::Info << "Train Data Count: " << get<0>(value).n_cols << endl;
  Log::Info << "Test Data Count: " << get<1>(value).n_cols << endl;

keon

#include <iostream>
using namespace std;

template <typename ObjectType>
class BaseClass{
public:
    friend ObjectType;

    int Increment(){
        return obj.Increment();

keon

# coding: utf-8

# Imports

import os
import cPickle
import numpy as np
import theano
import theano.tensor as T

keon

#!/bin/bash

# stop on error
set -e
############################################
# install the required packages
sudo apt-get update && sudo apt-get -y upgrade
sudo apt-get -y install linux-headers-$(uname -r) linux-image-extra-`uname -r`

# install cuda

keon

Used dueling network architecture with Q-learning, as outlined in this paper:

Dueling Network Architectures for Deep Reinforcement Learning
Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, Nando de Freitas
http://arxiv.org/abs/1511.06581

Command line:

python duel.py CartPole-v0 --gamma 0.995

keon

class Fenwick{
private:
    const int maxN = 10000;
public:
    int table[maxN];

    int sumQuery(int a, int b){
        return sumQuery(b) - sumQuery(a-1);
    }