如何使用Google AI平台在线预测?

问题描述

我创建了一个自定义的Tensorflow模型并将其部署到Google Cloud AI平台但是，当我向在线预测api发送发布请求时( https://ml.googleapis.com/v1/projects/my-project/models/my-model/versions/my-version:predict ).我回来了 401请求缺少必需的身份验证凭据.期望使用OAuth 2访问令牌.我了解通过部署模型，其API已经可以在线使用了，因此可以公开公开API吗?如果没有，我如何通过承载令牌进行api身份验证?

解决方案

您可以使用gcloud获取身份验证令牌:

  access_token = $(gcloud身份验证应用程序-默认打印访问令牌) 

，然后将其嵌入到标题中:

  curl --silent \-H授权:承载$ access_token" \-H内容类型:application/json" \-X POST \ 

等

i created a custom tensorflow model and deployed to google cloud AI platformhowever, when i sent a post request to online prediction api (https://ml.googleapis.com/v1/projects/my-project/models/my-model/versions/my-version:predict). i got back 401 Request is missing required authentication credential. Expected OAuth 2 access token my understand that by deploying model is its API already available online, so is there away to make API public? if not how i can make api authentication through bearer token?

解决方案

You can get the auth token using gcloud:

access_token=$(gcloud auth application-default print-access-token)

and then embed it into the header:

curl --silent \
    -H "Authorization: Bearer $access_token"  \
    -H "Content-Type: application/json" \
    -X POST \

etc.

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