Pipelines & Workflow Elements
Darwin Deepmodeloptim
Hyperparameter optimisation and neural architecture search for genomics deep learning models using Optuna.
RunnableWorkflow
Catalog entry
About this entry
Hyperparameter optimisation and neural architecture search for genomics deep learning models using Optuna. Steps: Step 1: data_prepare; Step 2: hparam_search; Step 3: model_train; Step 4: model_evaluate; Step 5: report. Verticals: genomics, proteomics.
Use in DarwinOmics
How to use it
Use this workflow element when the submitted analysis needs a multi-step execution path, imported workflow, Darwinomics wrapper, or workflow-scale comparison rather than a single module.