尝试进行本教程的试用:https://cloud.google.com/solutions/serving-machine-learning-models-using-apigee-edge-and-ml-engine
运行以下命令:
curl -s -X POST \
-H "Content-Type: application/json" \
-H "X-APIKEY: ${FOOAPP_API_KEY}" \
-d '{
"instances": [{
"age": 25,
"workclass": "Private",
"education": "Some-college",
"education_num": 1,
"marital_status": "Never-married",
"occupation": "Other-service",
"relationship": "Other-relative",
"race": "Other",
"gender": "Female",
"capital_gain": 0,
"capital_loss": 0,
"hours_per_week": 40,
"native_country": "United-States"}]
}' \
https://${APIGEE_ORGANIZATION}-${APIGEE_ENVIRONMENT}.apigee.net/ml/census/v1/predict
参数已相应设置。 出现以下错误:
{
"error": {
"code": 403,
"message": "Access to project denied.",
"status": "PERMISSION_DENIED"
}
}