CastellanZhang

Pinned Repositories

alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
Language:C++875 32 39275
alphaFM_softmax
Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.
Language:C++70 6 431
alphaPLM
Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.
Language:C++127 8 241
AUC
Language:C++9 3 06
CastellanZhang.github.io
Language:HTML1 1 01
lambdaFM
Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.
Language:C++112 8 1431
logloss
Language:C++4 2 06
NDCG
Language:Python23 2 010

CastellanZhang's Repositories

CastellanZhang/alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
Language:C++875 32 39275
CastellanZhang/alphaPLM
Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.
Language:C++127 8 241
CastellanZhang/lambdaFM
Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.
Language:C++112 8 1431
CastellanZhang/alphaFM_softmax
Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.
Language:C++70 6 431
CastellanZhang/NDCG
Language:Python23 2 010
CastellanZhang/AUC
Language:C++9 3 06
CastellanZhang/logloss
Language:C++4 2 06
CastellanZhang/CastellanZhang.github.io
Language:HTML1 1 01