Comments (5)
dylan-fan
commented on May 30, 2024
提供下你的训练数据规模，部署架构，机器配置，我们复现下看看
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123fei1
commented on May 30, 2024
数据规模：用的2.0.0/2.1.0 fateflow项目里自带的数据[breast_hetero_guest.csv和breast_hetero_host.csv]”https://github.com/FederatedAI/FATE-Flow/tree/689345f1be753610851e63b6cd75ea6fa92e6b82/examples/data“，运行的是2.0.0/2.1.0自带的LR模板 ”https://github.com/FederatedAI/FATE-Flow/blob/689345f1be753610851e63b6cd75ea6fa92e6b82/examples/lr/train_lr.yaml“
部署架构: 根据项目fateKube中Docker Compose 部署的两方FATE ”https://github.com/FederatedAI/KubeFATE/blob/v2.0.0/docker-deploy/README_zh.md“。2.0.0的镜像是从dockerhub官网上下载的”https://hub.docker.com/u/federatedai“，2.1.0是根据fate-Builder手动打的镜像”https://github.com/FederatedAI/FATE-Builder/blob/develop-2.0.0/docker-build/README_zh.md“
机器配置:
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