whong92 recommender issues

whong92 / recommender

Various implementations of recommender systems

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refactor for the serving module - forgot to add some files

#22 whong92 closed 3 years ago
0
refactor for the serving module

#21 whong92 closed 3 years ago
0
Tons of refactoring to make framework nicer

#20 whong92 closed 3 years ago
0
Custom training loop via stateful update functions

#19 whong92 closed 3 years ago
0
Composable Data Iterators

#18 whong92 closed 3 years ago
1
ExplicitDataPostgres

#17 whong92 closed 4 years ago
0
Make unified interface for running models

#16 whong92 closed 3 years ago
2
Make standard templates referencable from inside package

#15 whong92 closed 4 years ago
0
Look into RL for recommender systems

#14 whong92 opened 4 years ago
1
Implement a cached version of asymmetric SVD

#13 whong92 closed 4 years ago
0
Exciting Bayesian Stuff

#12 whong92 opened 4 years ago
2
Explore including metadata in recommender model

#11 whong92 opened 4 years ago
1
Explore Asymmetric SVD and generalizations

#10 whong92 closed 4 years ago
0
Re-generate features everytime new rating comes in, using old features

#9 whong92 closed 4 years ago
0
Make cacheable LSH (in memory) to reduce read-writes to DB

#8 whong92 closed 5 years ago
2
Make recommender predict for new user

#7 whong92 closed 4 years ago
1
Use MAP@k for evaluation

#6 whong92 closed 4 years ago
0
Standardize input methods for recommender classes

#5 whong92 closed 4 years ago
0
Matrix Recommender read training / test data from persistent store / DB

#4 whong92 closed 5 years ago
2
Make persistent version of LSH

#3 whong92 closed 5 years ago
1
Make predict mode for matrix factorizer

#2 whong92 closed 4 years ago
0
Make LSH saveable

#1 whong92 closed 5 years ago
1