Man pages for ANN2
Artificial Neural Networks for Anomaly Detection
| ANN | Rcpp module exposing C++ class ANN |
| autoencoder | Train an Autoencoding Neural Network |
| compression_plot | Compression plot |
| decode | Decoding step |
| encode | Encoding step |
| neuralnetwork | Train a Neural Network |
| plot.ANN | Plot training and validation loss |
| predict.ANN | Make predictions for new data |
| print.ANN | Print ANN |
| read_ANN | Read ANN object from file |
| reconstruct | Reconstruct data using trained ANN object of type autoencoder |
| reconstruction_plot | Reconstruction plot |
| setActivParams | Check user input related to activation functions |
| setData | Check the input data |
| setLossParams | Check user input related to loss function |
| setMeta | Sets list with meta info, to be used in other checks |
| setNetworkParams | Check user input related to network structure |
| setOptimParams | Check user input related to optimizer |
| setTrainParams | Check user input related to training |
| train | Continue training of a Neural Network |
| write_ANN | Write ANN object to file |
