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. |