Comments (2)
Okies, I can fix the first one easily then (thought I caught this). Second one I can do the same patchwork to essentially map probabilities
to weights
which should have the same effect.
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Released in 1.1.4
:)
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Related Issues (20)
- TypeError: Expected float, got numpy.float64 HOT 1
- `np.array` on `Configuration` returns names of HPs instead of values HOT 4
- Configure Github Sponsorship options HOT 2
- ConfigSpace is not compatible with numpy 2.0 HOT 4
- Bound for an Integer parameter depending on the value of another parameter? HOT 4
- Cannot create Integer parameter HOT 2
- Cannot create Constant of type bool HOT 1
- Cannot create range-based hyperparameter with a range containing a single value HOT 2
- Bug: ForbiddenEqualsRelation does not work HOT 1
- TransformerConstant is only supposed to handle np.number datatypes, but is used by Constant for union[int, float, str]. HOT 1
- Configuration.__contains__ does not work (infinite recursion) HOT 1
- Constants of type string do not work (sample_configutation returns the first letter of the string) HOT 1
- Feature request: allow multiple conditions on the same parameter HOT 2
- Bug: cannot print a Configuration with a Constant that is a list or a tuple HOT 2
- Configuration.__contains__ still does not work HOT 2
- Feature Request: Instantiate a ConfigSpace via a Sequence instead of a Mapping HOT 2
- Possible bug in ForbiddenEqualsRelation? HOT 3
- No more quantized hyperparameters? HOT 5
- Fix doc link in `README.md`
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from configspace.