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misc/py-optuna: New port: Hyperparameter optimization framework

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This commit is contained in:
Yuri Victorovich 2024-06-23 19:08:34 -07:00
parent c7aa8f609e
commit 10dfaae369
4 changed files with 45 additions and 0 deletions
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1
misc/Makefile
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@ -462,6 +462,7 @@
SUBDIR += py-openpaperwork-core
SUBDIR += py-openpaperwork-gtk
SUBDIR += py-openvdb
SUBDIR += py-optuna
SUBDIR += py-orange3-associate
SUBDIR += py-orange3-datafusion
SUBDIR += py-orange3-educational

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misc/py-optuna/Makefile Normal file
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@ -0,0 +1,36 @@
PORTNAME= optuna
DISTVERSION= 3.6.1
CATEGORIES= misc # machine-learning
MASTER_SITES= PYPI
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= yuri@FreeBSD.org
COMMENT= Hyperparameter optimization framework
WWW= https://optuna.org/
LICENSE= MIT
LICENSE_FILE= ${WRKSRC}/LICENSE
BUILD_DEPENDS= ${PY_SETUPTOOLS} \
${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR}
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}alembic>=1.5.0:databases/py-alembic@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}colorlog>0:devel/py-colorlog@${PY_FLAVOR} \
${PYNUMPY} \
${PYTHON_PKGNAMEPREFIX}packaging>=20.0:devel/py-packaging@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}sqlalchemy14>=1.3.0:databases/py-sqlalchemy14@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}tqdm>0:misc/py-tqdm@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}yaml>0:devel/py-yaml@${PY_FLAVOR}
TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}coverage>=0:devel/py-coverage@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}fakeredis>=0:databases/py-fakeredis@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}moto>=0:devel/py-moto@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pytest>=0:devel/py-pytest@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pytorch>=0:misc/py-pytorch@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}scipy>=1.9.2:science/py-scipy@${PY_FLAVOR}
# tests also depend on Kaleido but it isn't clear how to build it
USES= python
USE_PYTHON= pep517 concurrent autoplist pytest
NO_ARCH= yes
.include <bsd.port.mk>

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misc/py-optuna/distinfo Normal file
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TIMESTAMP = 1719076429
SHA256 (optuna-3.6.1.tar.gz) = 146e530b57b4b9afd7526b3e642fbe65491f7e292b405913355f8e438e361ecf
SIZE (optuna-3.6.1.tar.gz) = 292748

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misc/py-optuna/pkg-descr Normal file
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Optuna is an automatic hyperparameter optimization software framework,
particularly designed for machine learning. It features an imperative,
define-by-run style user API. Thanks to our define-by-run API, the code written
with Optuna enjoys high modularity, and the user of Optuna can dynamically
construct the search spaces for the hyperparameters.