Class AsyncModelConfig (1.1.2)

Version 1.1.2

• 1.8.3 (latest)
• 1.8.2
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.3
• 1.3.2
• 1.2.0
• 1.1.3
• 1.0.1
• 0.1.1

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

Information for solving one optimization model asynchronously.

Attributes

Name	Description
display_name	str User defined model name, can be used as alias by users to keep track of models.
input_config	google.cloud.optimization_v1.types.InputConfig Required. Information about the input model.
output_config	google.cloud.optimization_v1.types.OutputConfig Required. The desired output location information.
enable_checkpoints	bool If this is set, the model will be solved in the checkpoint mode. In this mode, the input model can have a deadline longer than 30 mins without the risk of interruption. The model will be solved in multiple short-running stages. Each stage generates an intermediate checkpoint and stores it in the user's Cloud Storage buckets. The checkpoint mode should be preferred over allow_large_deadline_despite_interruption_risk since it prevents the risk of interruption.

Inheritance

builtins.object > proto.message.Message > AsyncModelConfig