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public interface ImageClassificationModelMetadataOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getBaseModelId()
public abstract String getBaseModelId()
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
.
string base_model_id = 1;
Type | Description |
String | The baseModelId. |
getBaseModelIdBytes()
public abstract ByteString getBaseModelIdBytes()
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
.
string base_model_id = 1;
Type | Description |
ByteString | The bytes for baseModelId. |
getModelType()
public abstract String getModelType()
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.
string model_type = 7;
Type | Description |
String | The modelType. |
getModelTypeBytes()
public abstract ByteString getModelTypeBytes()
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.
string model_type = 7;
Type | Description |
ByteString | The bytes for modelType. |
getNodeCount()
public abstract long getNodeCount()
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.
int64 node_count = 14;
Type | Description |
long | The nodeCount. |
getNodeQps()
public abstract double getNodeQps()
Output only. An approximate number of online prediction QPS that can be supported by this model per each node on which it is deployed.
double node_qps = 13;
Type | Description |
double | The nodeQps. |
getStopReason()
public abstract String getStopReason()
Output only. The reason that this create model operation stopped,
e.g. BUDGET_REACHED
, MODEL_CONVERGED
.
string stop_reason = 5;
Type | Description |
String | The stopReason. |
getStopReasonBytes()
public abstract ByteString getStopReasonBytes()
Output only. The reason that this create model operation stopped,
e.g. BUDGET_REACHED
, MODEL_CONVERGED
.
string stop_reason = 5;
Type | Description |
ByteString | The bytes for stopReason. |
getTrainBudget()
public abstract long getTrainBudget()
Required. The train budget of creating this model, expressed in hours. The
actual train_cost
will be equal or less than this value.
int64 train_budget = 2;
Type | Description |
long | The trainBudget. |
getTrainCost()
public abstract long getTrainCost()
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.
int64 train_cost = 3;
Type | Description |
long | The trainCost. |