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 |