krishnanraman

+---+---+
|  x|  y|
+---+---+
|  1|  0|
|  2|  0|
|  3|  0|
|  4|  0|
|  5|  0|
|  6|  0|
|  7|  0|

krishnanraman

// Given 2 points in first quadrant
// Point p1 (a,b)
// Point p2 (c,d)
// a,b,c,d > 0
//
// Find point X(x,0) on x axis
// such that 
// ||p1-X|| + ||p2-X|| is smallest
//

krishnanraman

>spark-shell
import org.apache.spark.sql.SQLContext
val sql = new SQLContext(sc)
sql.read.format("orc").load("./test.orc").schema.foreach(println)

krishnanraman

import org.jfree.chart.{ChartFactory, ChartUtilities}
import org.jfree.data.time.{Day, TimeSeries, TimeSeriesCollection}
import scala.io.Source
import java.io.File

val dow = new TimeSeries("dow")
Source.fromFile("./DJI.csv").getLines.toStream.tail.foreach{
  x:String =>
  val arr = x.split(",")
  val day = Day.parseDay(arr(0))

krishnanraman

import multiprocessing as mp
import numpy as np
import sys

def printf(format, *args):
    sys.stdout.write(format % args)

def f(x):
	sum = 0
	for i in np.arange(x, 2*x,1):

krishnanraman

import util.Random

object TalebDart extends App {
	case class Dart(x:Double, y:Double)
	
	case class Box(minx:Double, miny:Double) {
		var count = 0

		def inBox(dart:Dart):Boolean = {
			val isin = dart.x >= minx && dart.x <= minx + 0.25 &&

krishnanraman

#include "factorial.h"

int factorial(int x) {
	if (x==1) 
		return 1;
	else
		return x * factorial(x-1);
}

krishnanraman

object ucb1 extends App {
	printf("Min Bid:")
	val min = readDouble
	printf("Max Bid:")
	val max = readDouble
	printf("Number of arms:")
	val arms = readInt
	printf("Trials (say 1000):")
	val trials = readInt

krishnanraman

object variableBid extends App {
	printf("Min Bid:")
	val min = readDouble
	printf("Max Bid:")
	val max = readDouble
	printf("Number of arms:")
	val arms = readInt
	printf("Trials (say 1000):")
	val trials = readInt
	printf("Epsilon (say 0.01):")

krishnanraman

object epsilongreedy extends App {
	// cmd-line inits
	print("Run 10,000 trials with Arm Probabilities (eg. 0.3,0.7): ")
	val s = readLine
	val armprob:List[Double] = s.split(",").toList.map{ x => x.toDouble }
	val arms = armprob.size	
	val trials = 10000
	val epsAll = List(0.01,0.1,0.5,0.9,0.99).map{ eps => Eps(eps, arms)}
	val bestArm:Int = armprob.zipWithIndex.maxBy{ x=> x._1}._2