Man pages for citoverse/cito
Building and Training Neural Networks
| ALE | Accumulated Local Effect Plot (ALE) |
| analyze_training | Visualize training of Neural Network |
| avgPool | This function creates an 'avgPool' layer object of class... |
| cito | 'cito': Building and training neural networks |
| cnn | Train a Convolutional Neural Network (CNN) |
| coef.citocnn | Retrieve parameters of a fitted CNN model |
| coef.citodnn | Returns list of parameters the neural network model currently... |
| conditionalEffects | 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'... |
| conv | Create a Convolutional Layer for a CNN Architecture |
| create_architecture | Create a CNN Architecture |
| dnn | DNN |
| e | Embeddings |
| findReTrmClasses | list of specials - taken from enum.R |
| linear | Create a Linear Layer for a CNN Architecture |
| maxPool | Create a Maximum Pooling Layer for a CNN Architecture |
| mmn | Train and evaluate a Multi-Modal Neural Network (MMN) model |
| multinomial_log_prob | Multinomial log likelihood |
| PDP | Partial Dependence Plot (PDP) |
| plot.citoarchitecture | Plot method for citoarchitecture objects |
| plot.citocnn | Plot a fitted CNN model |
| plot.citodnn | Creates graph plot which gives an overview of the network... |
| predict.citocnn | Predict with a fitted CNN model |
| predict.citodnn | Predict from a fitted dnn model |
| predict.citommn | Predict from a fitted mmn model |
| print.citoarchitecture | Print method for citoarchitecture objects |
| print.citocnn | Print a fitted CNN model |
| print.citodnn | Print class citodnn |
| print.citommn | Print class citommn |
| print.conditionalEffects | Print average conditional effects |
| print.summary.citodnn | Print method for class summary.citodnn |
| residuals.citodnn | Extract Model Residuals |
| simulate_shapes | Data Simulation for CNN |
| summary.citocnn | Summarize a fitted CNN model |
| summary.citodnn | Summarize Neural Network of class citodnn |
| summary.citommn | Summary citommn |
| sumTerms | combine a list of formula terms as a sum |
| transfer | Include a Pretrained Model in a CNN Architecture |
| tune | Tune hyperparameter |
