Comments (1)
Hi
The implementation details were verified and cross-checked by the then official
implementation of HyperBand as seen here.
Therefore, in our experiments, the comparison of DEHB with HB and BOHB is much fairer as one can see that during the first HB iteration, all 3 algorithms perform similarly.
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Related Issues (20)
- Continuously develop unit tests
- Keep active brackets in a dictionary HOT 1
- Implement ask-and-tell interface for DEHB HOT 1
- Use of deprecated np.int in dimension type checking HOT 3
- [Bug] `isinstance(self, Client)` will never be `True` HOT 6
- Configuration and budgets in each brackets HOT 6
- Using Dask ```Client``` as context manager
- No support for Constant type in vector_to_configspace() and configspace_to_vector() HOT 3
- Update CHANGELOG with the historic releases
- Updating and populating the documentation
- Implement versioning for documentation HOT 1
- Introduce IDs for evaluated configurations HOT 2
- Continuing configuration evolution when run budget is exhausted. HOT 2
- Implement parallel DE
- [Bug] Seeding is not applied to configspace HOT 3
- Is there any way to hide non-critical logs to stdout? HOT 8
- ERROR - Failed to communicate with scheduler during heartbeat. followed by TimeoutError: No valid workers found HOT 2
- Test backward compatibility with NumPy2.0 HOT 4
- Ask & Tell for DE
- Update numpy dependency as soon as ConfigSpace works with numpy 2.0
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