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 |