Class AutoMlImageSegmentationMetadata (1.36.4)

AutoMlImageSegmentationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Attributes

NameDescription
cost_milli_node_hours int
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.
successful_stop_reason google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentationMetadata.SuccessfulStopReason
For successful job completions, this is the reason why the job has finished.

Classes

SuccessfulStopReason

SuccessfulStopReason(value)

Values: SUCCESSFUL_STOP_REASON_UNSPECIFIED (0): Should not be set. BUDGET_REACHED (1): The inputs.budgetMilliNodeHours had been reached. MODEL_CONVERGED (2): Further training of the Model ceased to increase its quality, since it already has converged.

Methods

AutoMlImageSegmentationMetadata

AutoMlImageSegmentationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

AutoMlImageSegmentationMetadata

AutoMlImageSegmentationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)