truncs

#! /usr/bin/python

import sys

denominations = [1, 2,3]

def find_all_denom(value, denom, current_denom):

    if value < 0:
        return

truncs

multiplot <- function(..., plotlist=NULL, cols) {
    require(grid)

    # Make a list from the ... arguments and plotlist
    plots <- c(list(...), plotlist)

    numPlots = length(plots)

    # Make the panel
    plotCols = cols                          # Number of columns of plots

truncs

f = lambda x : x * (x + 1) / 2
f(999/3)*3 + f(999/5)*5 - f(999/15)*15

truncs

#! /usr/bin/python

import argparse
import os
import pwd
import subprocess
import string
import random
import signal
import sys

truncs

#! /usr/bin/python

import argparse
import os
import pwd
import subprocess
import string
import random
import signal
import sys

truncs

#! /usr/bin/python

import argparse
import os
import pwd
import subprocess
import string
import random
import signal
import sys

truncs

# Get a subset of values from the training set where days spent is zero
temp <- subset(train, DaysInHospital_Y2 == log1p(0))

# Get 100 samples from it with replacement and add it to a new dataframe
uniform_set <- temp[sample(nrow(temp), 100, replace=TRUE),]

# Keep on doing this for other values as well 
uniform_set <-  merge(uniform_set, temp[sample(nrow(temp), 100, replace=TRUE),], all=T)

# Train a tree on it 

truncs

# Transform days spent to log(1 + x)
y1_data$DaysInHospital_Y2 <- log1p(y1_data$DaysInHospital_Y2)

# Divide the set, 80% for train and 20% for test
indexes <- sample(1:nrow(y1_data), size=0.2*nrow(y1_data))
test <- y1_data[indexes,]
train <- y1_data[-indexes,]

# Remove unwanted features from both the sets
train <- subset(train, select=-c(MemberID_t, YEAR_t, DaysInHospital, trainset,  DaysInHospital_Y3, age_05, PayDelay_max, PayDelay_min, PayDelay_stdev, LOS_max, LOS_min,

truncs

#include <iostream>
#include <algorithm>
#include <string>
#include <cstdlib>

using namespace std;


int main(){
  int n;

truncs

#include <iostream>
#include <algorithm>
#include <string>
#include <cstdlib>

using namespace std;


int main(){
  int n;