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.
I'm using these connected systems with the Appian IDP app. However, when it gets to creating the model (DU_createModelAutoML) it fails with the following error.
Could not perform requested action, verify that the inputs are valid. com.google.api.gax.rpc.FailedPreconditionException: io.grpc.StatusRuntimeException: FAILED_PRECONDITION: To start training the model, it requires each annotation spec has 8 annotations for training, 1 annotations for validation and 1 annotations for testing. Current dataset does not meet the minimum requirement. Please import more data with those annotation specs before training:.
I did a quick search and all I found is that the data provided for my training model needs to be annotated but I'm not sure what that means.
Former Member 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.
Former Memberthis 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
In my data, I have loan_Id, Gender, Married, Dependents, Education and few more and I got that data from https://www.kaggle.com/burak3ergun/loan-data-set .
I haven't used this connected system myself, but from the error it seems like your dataset doesn't have the right data. What data do you have in the dataset?
It will be helpful if someone can share a quick solution. MuditPeter Lewis Robert Shankin Former Member
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."..??
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