Google Cloud AutoML Connected System

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.

Integrations provided:

  • Create Dataset
    • Create a new Image, Text, or Translate Dataset
  • Create Model
    • Trains a new Model from a Dataset (note: can take many hours)
  • Delete Dataset
    • Deletes a dataset and its data
  • Export Data
    • Exports data from dataset to new location in Google Cloud Storage
  • Get Dataset
    • Returns a Dataset’s Metadata
  • Get Model Evaluation
    • Returns a Model’s Performance evaluation
  • Get Model
    • Returns a Model’s Metadata
  • Import Data
    • Imports data into Dataset from Google Cloud Storage
  • List Datasets
    • List all datasets in project
  • List Model Evaluations
    • List Model Evaluations for a specific model
  • List Models
    • List Trained Models in project
  • Predict
    • Uses a specific model to Classify an image or block of text, or translate the text to another language
  • Get Long Running Operation Status
    • Long-running operations now return immediately with their long-running operation name

Requirements:

Anonymous
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  • 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:[2].

    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. 

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  • 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:[2].

    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. 

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