Introduction
1.
Building neonrvm
2.
Using neonrvm
3.
Data preparation
3.1.
Design matrix preparation
3.2.
Creating training cache
3.3.
Creating training parameters
3.4.
Training the model
3.5.
Getting the training results
3.6.
Making predictions
License
Future work
Reference
Light (default)
Rust
Coal
Navy
Ayu
neonrvm
Future work
Investigate methods to make learning process numerically more stable
Implement classification
Create higher level wrappers and programming language bindings
Improve documentation