LightningBO

LightningBOは、ベイズ最適化（Bayesian Optimization）を簡単に実装・拡張できるPythonライブラリです。本ライブラリは、ブラックボックス関数の最適化やハイパーパラメータ探索など、試行回数を抑えつつ効率的に最適解を見つけたい場面で活用できます。

特徴

JAXベースの高速な計算
連続・離散パラメータ両対応
期待値改善（EI）などの獲得関数
拡張性の高い設計

使い方例

import LightningBO.bayesian_optimization as bo
import LightningBO.bayesian_core as bc

# 最適化したい関数
def f(x):
	return x**2 - 4*x + 5

# 探索空間の定義
domain = {"x": bc.Continuous(-10, 10)}

# Optimizerの作成
optimizer = bo.Optimizer(domain=domain, maximize=False)

# 初期点
params = {"x": [0.0, 2.0, 5.0]}
ys = [f(x) for x in params["x"]]
state = optimizer.init(ys, params)

# 最適化ループ
for step in range(20):
	new_params = optimizer.sample(None, state)
	y = f(**new_params)
	state = optimizer.fit(state, y, new_params)

print("最適値:", state.best_score)
print("最適パラメータ:", state.best_params)

主な用途

機械学習モデルのハイパーパラメータ最適化
実験・シミュレーションのパラメータ探索
その他ブラックボックス関数の最適化

Metadata

Release files for LightningBO 0.1.2

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Source distribution (sdist)

Source distribution for LightningBO 0.1.2
File	Size	Uploaded	Provenance
lightningbo-0.1.2.tar.gz	14.6 kB	Sep 3, 2025	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for LightningBO 0.1.2
File	Interpreter	ABI	Platform	Reset
lightningbo-0.1.2-py3-none-any.whl 14.5 kB Sep 3, 2025 Without provenance	Python 3	none	any	Details

Total release size: 29.2 kB

Release files / lightningbo-0.1.2.tar.gz

Download URL	lightningbo-0.1.2.tar.gz
Size	14.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`1aa0a2d36c9f38716af89dee72bdb3a8f5bf3a455e4705cecf96f576ef40ade1`
BLAKE2b-256 checksum How to use checksums	`8cc567aa62223ea5bf83d7028fd076cf2df8bbd1e899fc98896868e3cfa8b54a`
Upload date	Sep 3, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.11`

Release files / lightningbo-0.1.2-py3-none-any.whl

Download URL	lightningbo-0.1.2-py3-none-any.whl
Size	14.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`022e9134f190d56794a0405755fd4d3172abbdb9de349d21d2a521a33892a044`
BLAKE2b-256 checksum How to use checksums	`1d072509b9134ee0b42787388babef9aaefff6a1aa10ead531411e7eee9e1feb`
Upload date	Sep 3, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.11`

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