Implementation of data fusion methods in Julia, specifically Macau, BPMF (Bayesian Probabilistic Matrix Factorization). Supported features:
BayesianDataFusion uses Gibbs sampling to learn the latent vectors and link matrices. In addition to predictions Gibbs sampling also provides estimates of standard deviation and possible other metrics (that can be computed from samples).
For examples, please see documentation.
about 1 year ago