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Opti

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Opti is deprecated. Consider using BoFire instead.

Opti is a Python package for specifying problems in a number of closely related fields, including experimental design, multiobjective optimization, decision making and Bayesian optimization.

Docs: https://basf.github.io/mopti/
Code: https://github.com/basf/mopti

Why opti?

Opti ...

  • supports mixed continuous, discrete and categorical parameter spaces for system inputs and outputs,
  • separates objectives (minimize, maximize, close-to-target) from the outputs on which they operate,
  • supports different specific and generic constraints as well as black-box output constraints,
  • provides sampling methods for constrained mixed variable spaces,
  • json-serializes problems for use in RESTful APIs and json/bson DBs, and
  • provides a range of benchmark problems for (multi-objective) optimization and Bayesian optimization.

BoFire

We are developing a successor of opti called BoFire and recommend using that. To help you with the transition to BoFire there is https://github.com/experimental-design/bofire-converters.

Metadata

Release files for mopti 0.10.11

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Source distribution for mopti 0.10.11
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Table of built distributions (wheels) for mopti 0.10.11
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mopti-0.10.11-py3-none-any.whl Python 3 none any Details

Total release size: 352.1 kB

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0.10.11 This release

2 release files

0.10.6

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0.10.5

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0.10.4

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0.10.3

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0.10.2

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0.10.0

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0.9.4

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0.9.2

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0.1

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