Class ImageClassificationModelMetadata

Model metadata for image classification.

Attributes
NameDescription
strbase_model_id
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``.
inttrain_budget
Required. The train budget of creating this model, expressed in hours. The actual ``train_cost`` will be equal or less than this value.
inttrain_cost
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.
strstop_reason
Output only. The reason that this create model operation stopped, e.g. ``BUDGET_REACHED``, ``MODEL_CONVERGED``.
strmodel_type
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.
floatnode_qps
Output only. An approximate number of online prediction QPS that can be supported by this model per each node on which it is deployed.
intnode_count
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.

Inheritance

builtins.object > proto.message.Message > ImageClassificationModelMetadata