Feijoa is a Python framework for hyperparameter's optimization.
The Feijoa API is very easy to use, effective for optimizing machine learning algorithms and various software. Feijoa contains many different use cases.
Compatibility
Feijoa works with Linux and OS X. Requires Python 3.8 or later.
Feijoa works with Jupyter notebooks with no additional configuration required.
Installing
Install with pip or your favourite PyPI package manager.
python -m pip install feijoa
Code example
from feijoa import create_job, SearchSpace, Real
from math import sin
def objective(experiment):
x = experiment.params.get('x')
y = experiment.params.get('y')
return sin(x * y)
space = SearchSpace()
space.insert(Real('x', low=0.0, high=2.0))
space.insert(Real('y', low=0.0, high=2.0))
job = create_job(search_space=space)
job.do(objective)
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Metadata
1 maintainer
Release files for feijoa 0.1.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| feijoa-0.1.11.tar.gz | 43.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| feijoa-0.1.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 136.0 kB
Release files / feijoa-0.1.11.tar.gz
| Download URL | feijoa-0.1.11.tar.gz |
|---|---|
| Size | 43.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.9.12
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Release files / feijoa-0.1.11-py3-none-any.whl
| Download URL | feijoa-0.1.11-py3-none-any.whl |
|---|---|
| Size | 92.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
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