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ml_prepare.R
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ml_prepare.R
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prepareForClassification = function(tempDf, knownSets = 0)
{
mlDf = data.frame(tempDf$Winner)
names(mlDf) = c("Winner")
if (knownSets >= 1) {
mlDf$Set1_1 = tempDf$Set1_1
mlDf$Set1_2 = tempDf$Set1_2
}
if (knownSets >= 2) {
mlDf$Set2_1 = tempDf$Set2_1
mlDf$Set2_2 = tempDf$Set2_2
}
mlDf$Points1 = tempDf$Points1
mlDf$Points2 = tempDf$Points2
for (i in 1:nrow(tempDf)) {
print(paste("------", i, "------"))
row = tempDf[i,]
pastN = 3
pastNmatches1 = getPastGamesForOneTeam(tempDf[1:i-1,], row, row$Team1, pastN)
pastNmatches2 = getPastGamesForOneTeam(tempDf[1:i-1,], row, row$Team2, pastN)
if (nrow(pastNmatches1) > 0) {
tempDf[i,"WinRatio_1"] = sum(pastNmatches1$IsWinner == TRUE) / nrow(pastNmatches1)
}
if (nrow(pastNmatches2) > 0) {
tempDf[i,"WinRatio_2"] = sum(pastNmatches2$IsWinner == TRUE) / nrow(pastNmatches2)
}
if (length(pastNmatches1) > 0) {
tempDf[i,"ResultPM_Cum_1"] = sum(pastNmatches1$ResultPM)
tempDf[i,"ResultPM_Mean_1"] = mean(pastNmatches1$ResultPM)
tempDf[i,"ResultPtsPM_Cum_1"] = sum(pastNmatches1$ResultPointsPM)
tempDf[i,"ResultPtsPM_Mean_1"] = mean(pastNmatches1$ResultPointsPM)
tempDf[i,"ResultPM_RankRatio_Cum_1"] = sum(pastNmatches1$ResultPM_RankingRatio)
tempDf[i,"ResultPM_RankRatio_Mean_1"] = mean(pastNmatches1$ResultPM_RankingRatio)
}
if (length(pastNmatches2) > 0) {
tempDf[i,"ResultPM_Cum_2"] = sum(pastNmatches2$ResultPM)
tempDf[i,"ResultPM_Mean_2"] = mean(pastNmatches2$ResultPM)
tempDf[i,"ResultPtsPM_Cum_2"] = sum(pastNmatches2$ResultPointsPM)
tempDf[i,"ResultPtsPM_Mean_2"] = mean(pastNmatches2$ResultPointsPM)
tempDf[i,"ResultPM_RankRatio_Cum_2"] = sum(pastNmatches2$ResultPM_RankingRatio)
tempDf[i,"ResultPM_RankRatio_Mean_2"] = mean(pastNmatches2$ResultPM_RankingRatio)
}
}
mlDf$WinRatio_1 = tempDf$WinRatio_1
mlDf$WinRatio_2 = tempDf$WinRatio_2
mlDf$ResultPM_Cum_1 = tempDf$ResultPM_Cum_1
mlDf$ResultPM_Mean_1 = tempDf$ResultPM_Mean_1
mlDf$ResultPM_Cum_2 = tempDf$ResultPM_Cum_2
mlDf$ResultPM_Mean_2 = tempDf$ResultPM_Mean_2
mlDf$ResultPtsPM_Cum_1 = tempDf$ResultPtsPM_Cum_1
mlDf$ResultPtsPM_Mean_1 = tempDf$ResultPtsPM_Mean_1
mlDf$ResultPtsPM_Cum_2 = tempDf$ResultPtsPM_Cum_2
mlDf$ResultPtsPM_Mean_2 = tempDf$ResultPtsPM_Mean_2
#mlDf$ResultPM_RankRatio_Cum_1 = tempDf$ResultPM_RankRatio_Cum_1
#mlDf$ResultPM_RankRatio_Mean_1 = tempDf$ResultPM_RankRatio_Mean_1
#mlDf$ResultPM_RankRatio_Cum_2 = tempDf$ResultPM_RankRatio_Cum_2
#mlDf$ResultPM_RankRatio_Mean_2 = tempDf$ResultPM_RankRatio_Mean_2
mlDf
}
prepareForRegression = function(tempDf)
{
mlDf = data.frame(tempDf$Time)
names(mlDf) = c("Time")
mlDf$Points1 = tempDf$Points1
mlDf$Points2 = tempDf$Points2
for (i in 1:nrow(tempDf)) {
row = tempDf[i,]
pastN = 3
pastNmatches1 = getPastGamesForOneTeam(tempDf[1:i-1,], row, row$Team1, pastN)
pastNmatches2 = getPastGamesForOneTeam(tempDf[1:i-1,], row, row$Team2, pastN)
if (nrow(pastNmatches1) > 0) {
tempDf[i,"WinRatio_1"] = sum(pastNmatches1$IsWinner == TRUE) / nrow(pastNmatches1)
}
if (nrow(pastNmatches2) > 0) {
tempDf[i,"WinRatio_2"] = sum(pastNmatches2$IsWinner == TRUE) / nrow(pastNmatches2)
}
if (length(pastNmatches1) > 0) {
tempDf[i,"Sets_1"] = mean(pastNmatches1$Result_1 + pastNmatches1$Result_2)
tempDf[i,"MatchPoints_1"] = mean(pastNmatches1$Points_1 + pastNmatches1$Points_2)
tempDf[i,"SetsRankRatio_1"] = mean(pastNmatches1$ResultPoints_RankingRatio)
tempDf[i,"ResultPM_Cum_1"] = sum(pastNmatches1$ResultPM)
tempDf[i,"ResultPM_Mean_1"] = mean(pastNmatches1$ResultPM)
tempDf[i,"ResultPtsPM_Cum_1"] = sum(pastNmatches1$ResultPointsPM)
tempDf[i,"ResultPtsPM_Mean_1"] = mean(pastNmatches1$ResultPointsPM)
}
if (length(pastNmatches2) > 0) {
tempDf[i,"Sets_2"] = mean(pastNmatches2$Result_1 + pastNmatches2$Result_2)
tempDf[i,"MatchPoints_2"] = mean(pastNmatches2$Points_1 + pastNmatches2$Points_2)
tempDf[i,"SetsRankRatio_2"] = mean(pastNmatches2$ResultPoints_RankingRatio)
tempDf[i,"ResultPM_Cum_2"] = sum(pastNmatches2$ResultPM)
tempDf[i,"ResultPM_Mean_2"] = mean(pastNmatches2$ResultPM)
tempDf[i,"ResultPtsPM_Cum_2"] = sum(pastNmatches2$ResultPointsPM)
tempDf[i,"ResultPtsPM_Mean_2"] = mean(pastNmatches2$ResultPointsPM)
}
print(paste("------", i, "------"))
}
mlDf$WinRatio_1 = tempDf$WinRatio_1
mlDf$WinRatio_2 = tempDf$WinRatio_2
#mlDf$ResultPM_Cum_1 = tempDf$ResultPM_Cum_1
mlDf$ResultPM_Mean_1 = tempDf$ResultPM_Mean_1
#mlDf$ResultPM_Cum_2 = tempDf$ResultPM_Cum_2
mlDf$ResultPM_Mean_2 = tempDf$ResultPM_Mean_2
#mlDf$ResultPtsPM_Cum_1 = tempDf$ResultPtsPM_Cum_1
mlDf$ResultPtsPM_Mean_1 = tempDf$ResultPtsPM_Mean_1
#mlDf$ResultPtsPM_Cum_2 = tempDf$ResultPtsPM_Cum_2
mlDf$ResultPtsPM_Mean_2 = tempDf$ResultPtsPM_Mean_2
# mlDf$Team1_Results_3_0_Ratio = tempDf$Team1_Results_3_0 / tempDf$Team1_Matches_Played
# mlDf$Team1_Results_3_1_Ratio = tempDf$Team1_Results_3_1 / tempDf$Team1_Matches_Played
# mlDf$Team1_Results_3_2_Ratio = tempDf$Team1_Results_3_2 / tempDf$Team1_Matches_Played
# mlDf$Team1_Results_2_3_Ratio = tempDf$Team1_Results_2_3 / tempDf$Team1_Matches_Played
# mlDf$Team1_Results_1_3_Ratio = tempDf$Team1_Results_1_3 / tempDf$Team1_Matches_Played
# mlDf$Team1_Results_0_3_Ratio = tempDf$Team1_Results_0_3 / tempDf$Team1_Matches_Played
# mlDf$Team2_Results_3_0_Ratio = tempDf$Team2_Results_3_0 / tempDf$Team2_Matches_Played
# mlDf$Team2_Results_3_1_Ratio = tempDf$Team2_Results_3_1 / tempDf$Team2_Matches_Played
# mlDf$Team2_Results_3_2_Ratio = tempDf$Team2_Results_3_2 / tempDf$Team2_Matches_Played
# mlDf$Team2_Results_2_3_Ratio = tempDf$Team2_Results_2_3 / tempDf$Team2_Matches_Played
# mlDf$Team2_Results_1_3_Ratio = tempDf$Team2_Results_1_3 / tempDf$Team2_Matches_Played
# mlDf$Team2_Results_0_3_Ratio = tempDf$Team2_Results_0_3 / tempDf$Team2_Matches_Played
mlDf$Sets_1 = tempDf$Sets_1
mlDf$Sets_2 = tempDf$Sets_2
mlDf$MatchPoints_1 = tempDf$MatchPoints_1
mlDf$MatchPoints_2 = tempDf$MatchPoints_2
mlDf$SetsRankRatio_1 = tempDf$SetsRankRatio_1
mlDf$SetsRankRatio_2 = tempDf$SetsRankRatio_2
mlDf$Sets_Mean_1 = tempDf$Team1_Sets_Played / tempDf$Team1_Matches_Played
mlDf$Sets_Mean_2 = tempDf$Team2_Sets_Played / tempDf$Team2_Matches_Played
mlDf
}
getPastGamesForOneTeam = function(df, row, team, latestN = 3)
{
isTeam1 = df$Team1 == team
isTeam2 = df$Team2 == team
isTeam = isTeam1 | isTeam2
isInPast = difftime(df$Date, row$Date) < 0
df = df[isTeam & isInPast,]
range = nrow(df):max(0, nrow(df)-latestN+1)
df = df[range,]
df$IsWinner = (df$Team1 == team & df$Winner == "1") | (df$Team2 == team & df$Winner == "2")
isTeam1 = df$Team1 == team
isTeam2 = df$Team2 == team
whereTeam1 = df[isTeam1,]
whereTeam2 = df[isTeam2,]
df[isTeam1,"ResultPM"] = whereTeam1$Result_1 - whereTeam1$Result_2
df[isTeam2,"ResultPM"] = whereTeam2$Result_2 - whereTeam2$Result_1
df[isTeam1,"ResultPointsPM"] = whereTeam1$Points_1 - whereTeam1$Points_2
df[isTeam2,"ResultPointsPM"] = whereTeam2$Points_2 - whereTeam2$Points_1
df[isTeam1,"ResultPM_RankingRatio"] = (whereTeam1$Points_1 - whereTeam1$Result_2) / whereTeam1$Points2
df[isTeam2,"ResultPM_RankingRatio"] = (whereTeam2$Result_2 - whereTeam2$Result_1) / whereTeam2$Points1
df[isTeam1,"ResultPoints_RankingRatio"] = (whereTeam1$Points_1 + whereTeam1$Result_2) / whereTeam1$Points2
df[isTeam2,"ResultPoints_RankingRatio"] = (whereTeam2$Points_1 + whereTeam2$Result_2) / whereTeam2$Points1
df
}
getPastGamesForBothTeams = function(df, row, latestN = 3)
{
isTeam1 = df$Team1 == row$Team1 | df$Team2 == row$Team1
isTeam2 = df$Team1 == row$Team2 | df$Team2 == row$Team2
isInPast = difftime(df$Date, row$Date) < 0
df = df[isTeam1 & isTeam2 & isInPast,]
range = nrow(df):max(0, nrow(df)-latestN+1)
df[range,]
}