Hi, I want to make a delegate machine learning with TEE. How can I load the ML
model files and run it within Teaclave?
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I met a similar error
and this is my release/services
what should I do
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_Originally posted by @master-davidlee in
https://github.com/apache/incubator-teaclave/issues/437#issuecomment-763385226_
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Thanks it work
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Closed #461.
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I have launched all the service
but when I want to run the example echo.py
`
some service will be exited after a while automatically
![image](https://user-images.githubusercontent.com/49427668/105275318-003e1980-5bda-11eb-8b70-c11fe5f675ba.pn
I have tried your tutorial about "the first function", but met many errors.
How about providing a live demo API that includes executing custom python files
and machine learning to experience? In this way, people can directly
experience your work and save a lot of time for both of us.
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You a
when I run the last command
I met an error
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And I use these 2 steps fixed it
1. the first step is to take note of the public key, for example, there is the
78BD65473CB3BD13
2. sudo apt-key adv --keyserver hkp://keyserver.ubuntu.c
I remember this command returned OK, but the error still occurred but I have
fixed it. Can you take look at the other error#463. It bothers me many days
Thanks
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:
self._w = None
def fit(self, X, y, lr=0.01, epsilon=0.01, epoch=1000):
`ipfs@249:~/incubator-teaclave$ (cd docker && docker-compose -f
docker-compose-ubuntu-1804-sgx-sim-mode.yml up --build)
Building teaclave-authentication-service-sgx-sim-mode
Step 1/29 : FROM ubuntu:18.04
---> c090eaba6b94
Step 2/29 : ENV VERSION 2.9.101.2-bionic1
---> Using cache
---> c79b09440
Closed #466.
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