vespa-engine/vespa

Support a properties-file (available during runtime) for ml-models (Stateless evaluation in container)

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#9,552 创建于 2019年5月24日

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 (0 评论) (0 反应) (0 负责人)Java (4,948 star) (561 fork)batch import
enhancementgood first issue

描述

Hello Vespa Team, Can you please consider support a properties-file which is available during run-time along with the model ? So some meta-data e.g. threshold/label, etc can be associated with the model. This is for the stateless evaluation of the models like (XGBoost, TensorFlow, Onnx, etc) which is supported in vespa.

Thank you, Pinank

贡献者指南

技术栈
javatensorflow
领域
machine learningbackend
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
4
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
over 1 week
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
unclear
前置要求
Understanding of Vespa architectureFamiliarity with ML model evaluation in Vespa
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
10
研究方向
The issue requests adding a properties file for ML models (XGBoost, TensorFlow, ONNX) during stateless evaluation. Since the issue is from 2019 and has no comments, the requester's intent is to associate metadata like thresholds/labels with models. To implement, one should investigate Vespa's model serving infrastructure, specifically how models are packaged and evaluated in containers (e.g., using the model evaluation API). The key challenge is to define a format for the properties file and integrate it into the model loading process. The solution would likely involve modifications to the model configuration and evaluation pipeline.