R: Building and Training Neural Networks

# Building and Training Neural Networks

## Documentation for package ‘cito’ version 1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

cito-package | 'cito': Building and training neural networks
ALE | Accumulated Local Effect Plot (ALE)
ALE.citodnn | Accumulated Local Effect Plot (ALE)
ALE.citodnnBootstrap | Accumulated Local Effect Plot (ALE)
analyze_training | Visualize training of Neural Network
avgPool | Average pooling layer
cito | 'cito': Building and training neural networks
cnn | CNN
coef.citocnn | Returns list of parameters the neural network model currently has in use
coef.citodnn | Returns list of parameters the neural network model currently has in use
coef.citodnnBootstrap | Returns list of parameters the neural network model currently has in use
conditionalEffects | Calculate average conditional effects
conditionalEffects.citodnn | Calculate average conditional effects
conditionalEffects.citodnnBootstrap | Calculate average conditional effects
config_lr_scheduler | Creation of customized learning rate scheduler objects
config_optimizer | Creation of customized optimizer objects
config_tuning | Config hyperparameter tuning
continue_training | Continues training of a model generated with 'dnn' or 'cnn' for additional epochs.
continue_training.citocnn | Continues training of a model generated with 'dnn' or 'cnn' for additional epochs.
continue_training.citodnn | Continues training of a model generated with 'dnn' or 'cnn' for additional epochs.
continue_training.citodnnBootstrap | Continues training of a model generated with 'dnn' or 'cnn' for additional epochs.
conv | Convolutional layer
create_architecture | CNN architecture
dnn | DNN
e | Embeddings
findReTrmClasses | list of specials - taken from enum.R
linear | Linear layer
maxPool | Maximum pooling layer
PDP | Partial Dependence Plot (PDP)
PDP.citodnn | Partial Dependence Plot (PDP)
PDP.citodnnBootstrap | Partial Dependence Plot (PDP)
plot.citoarchitecture | Plot the CNN architecture
plot.citocnn | Plot the CNN architecture
plot.citodnn | Creates graph plot which gives an overview of the network architecture.
plot.citodnnBootstrap | Creates graph plot which gives an overview of the network architecture.
predict.citocnn | Predict from a fitted cnn model
predict.citodnn | Predict from a fitted dnn model
predict.citodnnBootstrap | Predict from a fitted dnn model
print.avgPool | Print pooling layer
print.citoarchitecture | Print class citoarchitecture
print.citocnn | Print class citocnn
print.citodnn | Print class citodnn
print.citodnnBootstrap | Print class citodnn
print.conditionalEffects | Print average conditional effects
print.conditionalEffectsBootstrap | Print average conditional effects
print.conv | Print conv layer
print.linear | Print linear layer
print.maxPool | Print pooling layer
print.summary.citodnn | Print method for class summary.citodnn
print.summary.citodnnBootstrap | Print method for class summary.citodnn
print.transfer | Print transfer model
residuals.citodnn | Extract Model Residuals
simulate_shapes | Data Simulation for CNN
summary.citocnn | Summary citocnn
summary.citodnn | Summarize Neural Network of class citodnn
summary.citodnnBootstrap | Summarize Neural Network of class citodnn
sumTerms | combine a list of formula terms as a sum
transfer | Transfer learning
tune | Tune hyperparameter