AutoMlImageSegmentation

A TrainingJob that trains and uploads an AutoML Image Segmentation Model.

Fields
inputs object (AutoMlImageSegmentationInputs)

The input parameters of this TrainingJob.

metadata object (AutoMlImageSegmentationMetadata)

The metadata information.

JSON representation 
{
  "inputs": {
    object (AutoMlImageSegmentationInputs)
  },
  "metadata": {
    object (AutoMlImageSegmentationMetadata)
  }
}

AutoMlImageSegmentationInputs

Fields
modelType enum (ModelType)
budgetMilliNodeHours string (int64 format)

The training budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual metadata.costMilliNodeHours will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using the full budget and the metadata.successfulStopReason will be model-converged. Note, node_hour = actual_hour * number_of_nodes_involved. Or actual_wall_clock_hours = trainBudgetMilliNodeHours / (number_of_nodes_involved * 1000) For modelType cloud-high-accuracy-1(default), the budget must be between 20,000 and 2,000,000 milli node hours, inclusive. The default value is 192,000 which represents one day in wall time (1000 milli * 24 hours * 8 nodes).

baseModelId string

The id of the base model. If it is specified, the new model will be trained based on the base model. Otherwise, the new model will be trained from scratch. The base model must be in the same Project and Location as the new Model to train, and have the same modelType.

JSON representation 
{
  "modelType": enum (ModelType),
  "budgetMilliNodeHours": string,
  "baseModelId": string
}

AutoMlImageSegmentationMetadata

Fields
costMilliNodeHours string (int64 format)

The actual training cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed inputs.budgetMilliNodeHours.

successfulStopReason enum (SuccessfulStopReason)

For successful job completions, this is the reason why the job has finished.

JSON representation 
{
  "costMilliNodeHours": string,
  "successfulStopReason": enum (SuccessfulStopReason)
}