# Class AsyncModelConfig (1.15.0)

1.15.0 (latest) 1.14.0 1.13.0 1.12.0 1.11.2 1.10.0 1.9.1 1.8.5 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` | `https://docs.cloud.google.com/python/docs/reference/optimization/latest/google.cloud.optimization_v1.types.InputConfig` Required. Information about the input model. |
| `output_config` | `https://docs.cloud.google.com/python/docs/reference/optimization/latest/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. |