Note: This Appian plug-in uses a legacy version of the Google AutoML service, which Google has deprecated. After Google shuts down these services, the Google Cloud AutoML connected system plug-in and the Google AutoML Tables connected system plug-in will no longer function in any version of Appian. Customers who need to continue meeting these use cases will need to contract with Google directly and build an HTTP integration to leverage new services, such as Google Vertex AI.
Google Cloud AutoML enables building, training, and predicting on custom Image, Text, or Translate models in using Google’s AutoML service. Model details include metadata about the type of model.
Key Features & Functionality
I am getting this error when I want to create models. What does it mean by "FAILED_PRECONDITION: The dataset doesn't have any examples."..??
I m getting the same issue as the dataSet doesnot have any examples.Can u share me what was the exact issue with security of bucket whih results in error response
Thank you for reporting this.
1) what hotfix version are you on?
2) does your document contain checkboxes?
3) We have received multiple reports of service issues and reached out to our contacts at Google. They confirmed the service is having a small disruption and are working on resolving it.
Thanks very much.I solved this issue: there was a security problem in the configuration of the bucket.Now I'm facing a problem using Document Extraction Smart Service.I follwed the steps explained here https://docs.appian.com/suite/help/20.1/Appian_Doc_Extraction.html#selecting-document-types-to-process,but the process retries on the timer many times without concluding, but i do not receive any error message.
this occurs when you have not imported data to your dataset. Please first use the below operation on your dataset.
It will take some time for the items to be processed into the dataset. You can check the operation in the gcp console or use call the "Get Long Running Operation" integration, just pass in the operationName
Once the items have been processed and imported into the dataset you can then create the model
Hi, did you solve that issue?I have the same result
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