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**What deployment mode you are use? ** Kuberentes.
**What KubeFATE and FATE version you are using? ** fate_version=v1.9.0 kubefate_version=v1.4.5
**What OS you are using for docker-compse or Kubernetes? Please also clear the version of OS. **
OS: centeros Version 7.8
Clear how to reproduce your problem. I use the fate_flow_client.py to training model and when I load my model
Clear the unexpected response.
How do I deploy the model?Is there any relevant document? Thanks!
The text was updated successfully, but these errors were encountered:
Please follow this document https://github.com/FederatedAI/KubeFATE/tree/master/docker-deploy#deploy-model
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@owlet42 When I train a hetero federation model, and I have bound the service, and the result returned during online reasoning is always "score": 0.0
When I train a homo federation model, there is no score when reasoning
Same question!!! It always gave me 0 for hetero prediction and nothing for homo prediction.
Solved by:
For people who always obtain 0 predicting score:
"need_run" should be set to false for evaluation module in the host side.
false
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**What deployment mode you are use? **
Kuberentes.
**What KubeFATE and FATE version you are using? **
fate_version=v1.9.0
kubefate_version=v1.4.5
**What OS you are using for docker-compse or Kubernetes? Please also clear the version of OS. **
OS: centeros
Version 7.8
Clear how to reproduce your problem.
I use the fate_flow_client.py to training model and when I load my model
Clear the unexpected response.
How do I deploy the model?Is there any relevant document?
Thanks!
The text was updated successfully, but these errors were encountered: