Install LightGBM with pip#
2025-12-15
2 min read time
Prerequisites#
Before proceeding, ensure that you have installed a supported ROCm version, operating system, and Python version that are compatible with the ROCm Finance libraries. Verify that your system includes a supported AMD Instinct GPU. For guidance, see ROCm-Finance installation prerequisites.
For a consistent and streamlined setup experience, it’s recommended to use a ROCm development environment Docker container. See Install ROCm Finance for instructions.
Install using pip#
Install the ROCm-enabled LightGBM library from the AMD-hosted PyPI repository.
pip install amd_lightgbm --extra-index-url=https://pypi.amd.com/rocm-7.0.2/simple
pip install amd_lightgbm --extra-index-url=https://pypi.amd.com/rocm-6.4.4/simple
Verify your installation#
Use pip show to verify your installation:
pip show -v amd_lightgbm
Example output
Name: amd_lightgbm
Version: 4.6.0.99
Summary: ROCm Port of LightGBM Python-package
... [output truncated]
After installing LightGBM, import and use the library. For example:
import lightgbm as lgb
import numpy as np
rng = np.random.default_rng()
data = rng.uniform(size=(500, 10)) # 500 entities, each contains 10 features
label = rng.integers(low=0, high=2, size=(500, )) # binary target
train_data = lgb.Dataset(data, label=label)