Please install the dependencies via:
pip install -r requirements.txt
- Neural architecture search as hyperparameter optimization but caring about two objectives: maximizing test set accuracy and minimizing network size.
- Hierachichal search space for convolutional neural nets.
- Multifidelity: implemeted a speedup technique that stops for worst configurations at an early stage (similarly to successive halving)
Multiobjective tree-structured parzen estimator for computationally expensive optimization problems