ImageClassificationModelMetadata(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)Model metadata for image classification.
Attributes
| Name | Description |
| base_model_id |
str
Optional. The ID of the ``base`` model. If it is specified, the new model will be created based on the ``base`` model. Otherwise, the new model will be created from scratch. The ``base`` model must be in the same ``project`` and ``location`` as the new model to create, and have the same ``model_type``. |
| train_budget |
int
Required. The train budget of creating this model, expressed in hours. The actual ``train_cost`` will be equal or less than this value. |
| train_cost |
int
Output only. The actual train cost of creating this model, expressed in hours. If this model is created from a ``base`` model, the train cost used to create the ``base`` model are not included. |
| stop_reason |
str
Output only. The reason that this create model operation stopped, e.g. ``BUDGET_REACHED``, ``MODEL_CONVERGED``. |
| model_type |
str
Optional. Type of the model. The available values are: - ``cloud`` - Model to be used via prediction calls to AutoML API. This is the default value. - ``mobile-low-latency-1`` - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have low latency, but may have lower prediction quality than other models. - ``mobile-versatile-1`` - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. - ``mobile-high-accuracy-1`` - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other models. - ``mobile-core-ml-low-latency-1`` - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile device with Core ML afterwards. Expected to have low latency, but may have lower prediction quality than other models. - ``mobile-core-ml-versatile-1`` - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile device with Core ML afterwards. - ``mobile-core-ml-high-accuracy-1`` - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile device with Core ML afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other models. |
| node_qps |
float
Output only. An approximate number of online prediction QPS that can be supported by this model per each node on which it is deployed. |
| node_count |
int
Output only. The number of nodes this model is deployed on. A node is an abstraction of a machine resource, which can handle online prediction QPS as given in the node_qps field. |