Examples
Example Notebooks
Example Tuning Scripts
- Launch HPO Experiment Locally
- Launch HPO Experiment with Python Backend
- Population-Based Training (PBT)
- Visualize Tuning Progress with Tensorboard
- Bayesian Optimization with Scikit-learn Based Surrogate Model
- Launch HPO Experiment with Simulator Backend
- Multi-objective Asynchronous Successive Halving (MOASHA)
- PASHA: Efficient HPO and NAS with Progressive Resource Allocation
- Constrained Bayesian Optimization
- Restrict Scheduler to Tabulated Configurations with Simulator Backend
- Tuning Reinforcement Learning
- Retrieving the Best Checkpoint
- Launch HPO Experiment with Home-Made Scheduler
- Launch HPO Experiment on mlp_fashionmnist Benchmark
- Transfer Tuning on NASBench-201
- Transfer Learning Example
- Plot Results of Tuning Experiment
- Resume a Tuning Job
- Customize Results Written during an Experiment
- Pass Configuration as JSON File to Training Script
- Speculative Early Checkpoint Removal
- Launch HPO Experiment with Ray Tune Scheduler
- Stand-Alone Bayesian Optimization
- Ask Tell Interface
- Ask Tell interface for Hyperband
- Multi Objective Multi Surrogate (MSMOS) Searcher