v0.1.0
Some major updates for the original algorithm:
- A method for the projection of new data point using existing feature weights is added,
model.project(Y). In this case, only factors will be trained, with loadings fixed. - Now, learning rate is adaptive and is decreased during if the model's loglikelihood doesn't increase.