wendykan

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Text.RegularExpressions;

namespace Kaggle.Metrics.Utilities
{
    public static class OpenImagesUtil
    {

wendykan

using System;
using System.Linq;
using System.Collections.Generic;
using Kaggle.DataFrames;
using Kaggle.Metrics.Utilities;
using System.Collections.Concurrent;

namespace Kaggle.Metrics.Custom
{
    [PublishedEvaluationAlgorithm("OpenImagesObjectDetectionAP", Name = "OpenImagesObjectDetectionAP",

wendykan

BASE62 = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"

def encode(num, alphabet=BASE62):
    """Encode a positive number in Base X

    Arguments:
    - `num`: The number to encode
    - `alphabet`: The alphabet to use for encoding
    """
    if num == 0:

wendykan

using System;
using System.Collections.Generic;
using System.Linq;
using GeoAPI.Geometries;
using Kaggle.DataFrames;
using NetTopologySuite.IO;

namespace Kaggle.Metrics.Custom {
    [PublishedEvaluationAlgorithm("JaccardDSTLParallel", Name = "JaccardDSTLParallel",
        Description = "JaccardDSTLParallel",

wendykan

library(irr)
library(Metrics)


k=0
r=0
for (x in 1:10000) {
  pred = as.integer(runif(10, min = 0, max = 4))
  truth = as.integer(runif(10, min = 0, max = 4))

wendykan

dat<- data.frame(t=seq(0, 2*pi, by=0.1) )

xhrt <- function(t) 16*sin(t)^3
yhrt <- function(t) 13*cos(t)-5*cos(2*t)-2*cos(3*t)-cos(4*t)
dat$y=yhrt(dat$t)
dat$x=xhrt(dat$t)

with(dat, plot(x,y, type="l"))

wendykan

library(rworldmap)
data=read.csv("/Users/wendy/Downloads/QueryResults (5).csv")
sPDF <- joinCountryData2Map( data ,joinCode = "ISO2" ,nameJoinColumn = "Country")
mapBubbles(sPDF,nameZSize="numSubmissions",oceanCol="lightblue",landCol="wheat")