jkbradley

/*
This example uses Scala.  Please see the MLlib documentation for a Java example.

Try running this code in the Spark shell.  It may produce different topics each time (since LDA includes some randomization), but it should give topics similar to those listed above.

This example is paired with a blog post on LDA in Spark: http://databricks.com/blog
Spark: http://spark.apache.org/
*/

import scala.collection.mutable

kelindar

{
  "AWSTemplateFormatVersion": "2010-09-09",
  "Description": "Misakai CoreOS Cluster for EC2: http://coreos.com/docs/running-coreos/cloud-providers/ec2/",
  "Mappings" : {
      "RegionMap" : {

          "eu-central-1" : {
              "AMI" : "ami-3a093a27"
          },

ianbattersby

#!/bin/bash

# THESE ARE NOTES, NOT TESTED AS SCRIPT!

# We need the following to get and run teamcity agent
sudo apt-get install openjdk-7-jre-headless
sudo apt-get install unzip #For unzipping buildAgent.zip

# For compiling Simple.Web
sudo apt-get install ruby1.9.1