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Releases: automl/ConfigSpace

v1.2.1

21 Nov 10:19
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bump: 1.2.1

v0.7.2

29 Jun 15:30
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  • MAINT #671465e2: Make loading json files from earlier versions backwards compatible

v0.7.1

29 Jun 07:57
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ci: bump version to 0.7.1

Version 0.6.1

11 Jan 16:32
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  • MAINT #286: Add support for Python 3.11.
  • FIX #282: Fixes a memory leak in the neighborhood generation of integer hyperparameters.

v0.6.0

15 Aug 08:09
8d64a8d
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v0.6.0

  • ADD #255: An easy interface of Float, Integer, Categorical for creating search spaces. Update documentation
  • ADD #243: Add forbidden relations between two hyperparamters
  • MAINT #243: Change branch master to main
  • FIX #259: Numpy runtime error when rounding
  • FIX #247: No longer errors when serliazing spaces with an InCondition
  • FIX #219: Hyperparamters correctly active with diamond-or conditions

v0.5.0

24 Mar 13:05
a8c5681
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  • Fix #231: Links to the pcs formats.
  • Fix #230: Allow Forbidden Clauses with non-numeric values.
  • Fix #232: Equality == between hyperparameters now considers default values.
  • Fix #221: Normal Hyperparameters should now properly sample from correct distribution in log space
  • Fix #221: Fixed boundary problems with integer hyperparameters due to numerical rounding after sampling.
  • Maint #221: Categorical Hyperparameters now always have associated probabilities, remaining uniform if non are provided. (Same behaviour)
  • Add #222: BetaFloat and BetaInteger hyperparamters, hyperparameters distributed according to a beta distribution.
  • Add #241: Implements support for PiBo, you can now embed some prior distribution knowledge into ConfigSpace hyperparameters.
    • See the example here.
    • Hyperparameters now have a pdf(vector: np.ndarray) -> np.ndarray to get the probability density values for the input
    • Hyperparameters now have a get_max_density() -> float to get the greatest value in it's probability distribution function, the probability of the mode of the distriubtion.
    • ConfigurationSpace objects now have a remove_parameter_priors() -> ConfigurationSpace to remove any priors

v0.4.21

02 Feb 17:28
5f12177
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Version 0.4.21

  • Add #224: Now builds binary wheels for Windows/Mac/Linux, available on PyPI.
  • Maint #227: Include automated testing for windows and mac.
  • Maint #228: #226: Account for test differences with i686 architectures.
  • Maint #213, #215: Prevent double trigger of github workflows.
  • Fix #212: Equality (==) on CategoricalHyperparameter objects are now invariant to ordering.
  • Add #208: ConfigurationSpace::estimate_size() to get the size of a configuration space without considering constraints.
  • Add #210: print(config) is now produces a string representation of a valid python dictionary that is suitable for copy and paste.
  • Fix #203: Parser for pcs files now correctly coverts types for forbidden clauses, checking for the validaty as well.
  • Maint #f71508c: Clean up in README.md and fix link for new SMAC example docs.
  • Fix #202: Fix numerical underflow when performing quantization of log sampled UniformFloat.
  • Add #188: Support for a truncated NormalIntegerHyperparameter or NormalFloatHyperparameter by providing lower and upper bounds.
  • Fix #195: Sampling configurations to perform validity checks for during get_one_exchange_neighborhood is now deterministic w.r.t. a seed.

v0.4.20

02 Sep 09:13
9fd85c4
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Version 0.4.20

  • MAINT #185: Drop support for Python 3.6
  • FIX #190: Remove old files with old GPL-3.0 license
  • ADD #191: Configuration and ConfigurationSpace can now act as mappings

Version 0.4.19

27 May 11:20
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  • ADD #184: Wheels.
  • FIX #176: copy meta field in add_configuration_space
  • MAINT #181: Run Flake8 on Cython code
  • MAINT #182: Replace rich comparisons by __eq__ in Cython code
  • MAINT #183: Cleanup warnings.

Version 0.4.18

18 Feb 05:57
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Version 0.4.18

  • ADD #164: New method rvs for hyperparameters to allow them being used with scikit-learn's hyperparameter optimization tools.
  • FIX #173: Fixes a numpy ABI incompatibility problem with numpy 1.20