datamining

Uses OpenRec, a modular recommender framework build on Tensorflow.

Project Structure

dataset/ contains raw input data

data_extraction/ contains csv parsing and javascript data wrangling scripts to process and format the data sets

model-*, checkpoint OpenRec saved artefacts (in the form of tensorflow sessions)

*.py Various scripts to save, load, combine and serve/evaluate recommender systems

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
CrossFoldTrainedBaseModels		CrossFoldTrainedBaseModels
data_extraction		data_extraction
dataset		dataset
.gitignore		.gitignore
CMLTime.py		CMLTime.py
CombinedRecommender.py		CombinedRecommender.py
CrossFoldValidationBaseModels.py		CrossFoldValidationBaseModels.py
EvaluateCombinedRecommender.py		EvaluateCombinedRecommender.py
EvolveCombinedRecommender.py		EvolveCombinedRecommender.py
ImplicitDatasetWithExplicitConversion.py		ImplicitDatasetWithExplicitConversion.py
LoadRecommender.py		LoadRecommender.py
PairwiseSamplerWithExplicitConversion.py		PairwiseSamplerWithExplicitConversion.py
README.md		README.md
TrainRecommender.py		TrainRecommender.py
config.py		config.py
exp_pmf.py		exp_pmf.py
finalEvaluation.py		finalEvaluation.py
final_results.p		final_results.p
fullEvaluation.py		fullEvaluation.py
test.py		test.py
trainAndRunRec.py		trainAndRunRec.py
training_config.py		training_config.py