R: Random Weight Neural Networks

# Random Weight Neural Networks

## Documentation for package ‘RWNN’ version 0.4

- DESCRIPTION file

## Help Pages

ae_rwnn | Auto-encoder pre-trained random weight neural networks
ae_rwnn.formula | Auto-encoder pre-trained random weight neural networks
bag_rwnn | Bagging random weight neural networks
bag_rwnn.formula | Bagging random weight neural networks
boost_rwnn | Boosting random weight neural networks
boost_rwnn.formula | Boosting random weight neural networks
classify | Classifier
control_rwnn | rwnn control function
ed_rwnn | Ensemble deep random weight neural networks
ed_rwnn.formula | Ensemble deep random weight neural networks
ERWNN-object | An ERWNN-object
example_data | Example data
predict.ERWNN | Predicting targets of an ERWNN-object
predict.RWNN | Predicting targets of an RWNN-object
reduce_network | Reduce the weights of a random weight neural network.
reduce_network.ERWNN | Reduce the weights of a random weight neural network.
reduce_network.RWNN | Reduce the weights of a random weight neural network.
rwnn | Random weight neural networks
RWNN-object | An RWNN-object
rwnn.formula | Random weight neural networks
stack_rwnn | Stacking random weight neural networks
stack_rwnn.formula | Stacking random weight neural networks