polyfractal

<?php

require 'vendor/autoload.php';

use Sherlock\Sherlock;


function pprint($value) {
    print_r($value);
    echo "\r\n";

MLnick

import spark.SparkContext
import SparkContext._

/**
 * A port of [[http://blog.echen.me/2012/02/09/movie-recommendations-and-more-via-mapreduce-and-scalding/]]
 * to Spark.
 * Uses movie ratings data from MovieLens 100k dataset found at [[http://www.grouplens.org/node/73]]
 */
object MovieSimilarities {

fideloper

#############################################################################
## data source definitions
#############################################################################

source users
{
	# data source type. mandatory, no default value
	# known types are mysql, pgsql, mssql, xmlpipe, xmlpipe2, odbc
	type			= mysql

dadoonet

#!/bin/bash

ES='http://localhost:9200'
ESIDX='test3'
ESTYPE='test'

curl -XDELETE $ES/$ESIDX

curl -XPUT $ES/$ESIDX/ -d '{
	"settings" : {

RedBeard0531

// derived from http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Parallel_algorithm

function map() {
    emit(1, // Or put a GROUP BY key here
         {sum: this.value, // the field you want stats for
          min: this.value,
          max: this.value,
          count:1,
          diff: 0, // M2,n:  sum((val-mean)^2)
    });

pksunkara

[user]
	name = Pavan Kumar Sunkara
	email = [email protected]
	username = pksunkara
[init]
	defaultBranch = master
[core]
	editor = nvim
	whitespace = fix,-indent-with-non-tab,trailing-space,cr-at-eol
	pager = delta

retronym

object scala {
   val version = "SCALA_VERSION$"
}

val xml =         <dependencies>
            <dependency>                
                <groupId>org.scalanlp</groupId>
                <artifactId>scalala_${scala.version}</artifactId>
                <version>0.3.1</version>
            </dependency>