komiya-atsushi/xgboost-predictor-java
Pure Java implementation of XGBoost predictor for online prediction tasks.
This is a specialized software component for Java developers who need to integrate high-performance machine learning predictions into their applications. It takes pre-trained XGBoost models and efficiently generates real-time predictions or classifications based on new input data. The target user is a Java developer building systems that require rapid, online machine learning inference, such as recommendation engines, fraud detection, or real-time bidding platforms.
346 stars. No commits in the last 6 months.
Use this if you are a Java developer building an application where extremely fast, real-time predictions from an XGBoost model are critical.
Not ideal if you need to train new XGBoost models or are not working within a Java development environment.
Stars
346
Forks
106
Language
Java
License
Apache-2.0
Category
Last pushed
Mar 08, 2022
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