MetaOpt is a library that optimizes black-box functions using a limited amount of time and utilizing multiple processors. The main focus of MetaOpt is the parameter tuning for machine learning and heuristic optimization.
MetaOpt has been developed by the Computational Intelligence Group at the University of Oldenburg. The authors are: Renke Grunwald, Bengt Lüers, Jendrik Poloczek, Justin Heinermann, Oliver Kramer.
For a user guide, see the documentation. The following describes basic operations with the repository.
Status
PyPIn |
GitHub |
master |
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develop |
Download
MetaOpt is obtainable via archives of past releases, but you can also get the sources by cloning the repository.
To get a working copy of the MetaOpt repository:
$ git clone https://github.com/cigroup-ol/metaopt.gitInstallation
MetaOpt is available on PyPI, but you can also install it from source.
To install MetaOpt from PyPI using pip:
$ sudo pip install metaoptTo install MetaOpt from a working copy:
$ cd metaopt
$ sudo python setup.py installTo verify MetaOpt was installed correctly:
$ python metaopt --version
metaopt 0.1.0.0Tests
MetaOpt has automated online tests, but you can also run them locally.
To run MetaOpt’s test suite from a working copy:
$ cd metaopt
$ sudo pip install -r requirements_test.txt
$ make tests-allCoverage
MetaOpt has automated online test coverage reports, but you can also create them locally.
To create MetaOpt’s coverage reports from a working copy:
$ cd metaopt
$ sudo pip install -r requirements_coverage.txt
$ make coverageExamples
MetaOpt comes with examples, which you can view in the docs, but you can also run them locally.
To install MetaOpt’s example dependecies and run an example from a working copy:
$ cd metaopt
$ sudo pip install -r requirements_examples.txt
$ PYTHONPATH=. python examples/svm_saes_global_timeout.pyDocumentation
MetaOpt has automatically generated online documentation, but you can build yourself a local copy.
To build MetaOpt’s html documentation from a working copy:
$ cd metaopt
$ sudo pip install -r requirements_docs.txt
$ make docs0.1.0 – initial release
1 maintainer
Metadata
1 maintainer
Release files for metaopt 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| metaopt-0.1.0.tar.gz | 271.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| metaopt-0.1.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 388.8 kB
Release files / metaopt-0.1.0.tar.gz
| Download URL | metaopt-0.1.0.tar.gz |
|---|---|
| Size | 271.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / metaopt-0.1.0-py2.py3-none-any.whl
| Download URL | metaopt-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 117.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
