lzu-zwb/jpmml-lightgbm

Java library and command-line application for converting LightGBM models to PMML

JPMML-LightGBM

Java library and command-line application for converting LightGBM models to PMML.

Prerequisites

• LightGBM 2.0.0 or newer.
• Java 1.8 or newer.

Installation

Enter the project root directory and build using Apache Maven:

mvn clean install

The build produces an executable uber-JAR file target/jpmml-lightgbm-executable-1.2-SNAPSHOT.jar.

Usage

A typical workflow can be summarized as follows:

1. Use LightGBM to train a model.
2. Save the model to a text file in a local filesystem.
3. Use the JPMML-LightGBM command-line converter application to turn this text file to a PMML file.

The LightGBM side of operations

Using the lightgbm package to train a regression model for the example Boston housing dataset:

from sklearn.datasets import load_boston

boston = load_boston()

from lightgbm import LGBMRegressor

lgbm = LGBMRegressor(objective = "regression")
lgbm.fit(boston.data, boston.target, feature_name = boston.feature_names)

lgbm.booster_.save_model("lightgbm.txt")

The JPMML-LightGBM side of operations

Converting the text file lightgbm.txt to a PMML file lightgbm.pmml:

java -jar target/jpmml-lightgbm-executable-1.2-SNAPSHOT.jar --lgbm-input lightgbm.txt --pmml-output lightgbm.pmml

Getting help:

java -jar target/jpmml-lightgbm-executable-1.2-SNAPSHOT.jar --help

Documentation

• Converting Scikit-Learn plus LightGBM pipelines to PMML documents

License

JPMML-LightGBM is dual-licensed under the GNU Affero General Public License (AGPL) version 3.0, and a commercial license.

Additional information

JPMML-LightGBM is developed and maintained by Openscoring Ltd, Estonia.

Interested in using JPMML software in your application? Please contact info@openscoring.io