GitHub - Ajblast/LoL-ML-Project: This repo contains a graduate project that implements a LSTM based off of queried real-time League of Legends games to predict which team will win a match.

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This repo contains a graduate project that implements a LSTM based off of queried real-time League of Legends games to predict which team will win a match.

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Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
.gitignore		.gitignore
FetchMatchIds.py		FetchMatchIds.py
GetMatchTimeData.py		GetMatchTimeData.py
LSTMModel.py		LSTMModel.py
LeagueRequester.py		LeagueRequester.py
MatchIds.txt		MatchIds.txt
MatchJsonCombiner.py		MatchJsonCombiner.py
MatchRequester.py		MatchRequester.py
MatchTimelinePreProcessor.py		MatchTimelinePreProcessor.py
MatchTimelinePreProcessorReduced.py		MatchTimelinePreProcessorReduced.py
ModelEvaluator.py		ModelEvaluator.py
ModelEvaluatorReduced.py		ModelEvaluatorReduced.py
ModelTraining.py		ModelTraining.py
ModelTrainingReduced.py		ModelTrainingReduced.py
ParsedMatchTimeLineRequester.py		ParsedMatchTimeLineRequester.py
RIOTAPI.py		RIOTAPI.py
RateLimit.py		RateLimit.py
Steps.txt		Steps.txt
SummonerRequester.py		SummonerRequester.py
TestMatch.json		TestMatch.json
TestMatches.json		TestMatches.json
TestModel.pt		TestModel.pt
TestParsed.json		TestParsed.json
TestTimeline.json		TestTimeline.json
test.py		test.py
test2.py		test2.py

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This repo contains a graduate project that implements a LSTM based off of queried real-time League of Legends games to predict which team will win a match.

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