Class ImageClassificationModelMetadata

Model metadata for image classification.

Inheritance
System.Object
ImageClassificationModelMetadata
Inherited Members
System.Object.ToString()
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
Namespace: Google.Cloud.AutoML.V1
Assembly: Google.Cloud.AutoML.V1.dll
Syntax
public sealed class ImageClassificationModelMetadata : IMessage<ImageClassificationModelMetadata>, IEquatable<ImageClassificationModelMetadata>, IDeepCloneable<ImageClassificationModelMetadata>, IBufferMessage, IMessage

Constructors

ImageClassificationModelMetadata()

Declaration
public ImageClassificationModelMetadata()

ImageClassificationModelMetadata(ImageClassificationModelMetadata)

Declaration
public ImageClassificationModelMetadata(ImageClassificationModelMetadata other)
Parameters
Type Name Description
ImageClassificationModelMetadata other

Properties

BaseModelId

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.

Declaration
public string BaseModelId { get; set; }
Property Value
Type Description
System.String

ModelType

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][google.cloud.automl.v1.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][google.cloud.automl.v1.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][google.cloud.automl.v1.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][google.cloud.automl.v1.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][google.cloud.automl.v1.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][google.cloud.automl.v1.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.
Declaration
public string ModelType { get; set; }
Property Value
Type Description
System.String

NodeCount

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.

Declaration
public long NodeCount { get; set; }
Property Value
Type Description
System.Int64

NodeQps

Output only. An approximate number of online prediction QPS that can be supported by this model per each node on which it is deployed.

Declaration
public double NodeQps { get; set; }
Property Value
Type Description
System.Double

StopReason

Output only. The reason that this create model operation stopped, e.g. BUDGET_REACHED, MODEL_CONVERGED.

Declaration
public string StopReason { get; set; }
Property Value
Type Description
System.String

TrainBudgetMilliNodeHours

The train budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual train_cost will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using full budget and the stop_reason will be MODEL_CONVERGED. Note, node_hour = actual_hour * number_of_nodes_invovled. For model type cloud(default), the train budget must be between 8,000 and 800,000 milli node hours, inclusive. The default value is 192, 000 which represents one day in wall time. For model type mobile-low-latency-1, mobile-versatile-1, mobile-high-accuracy-1, mobile-core-ml-low-latency-1, mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1, the train budget must be between 1,000 and 100,000 milli node hours, inclusive. The default value is 24, 000 which represents one day in wall time.

Declaration
public long TrainBudgetMilliNodeHours { get; set; }
Property Value
Type Description
System.Int64

TrainCostMilliNodeHours

Output only. The actual train cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed the train budget.

Declaration
public long TrainCostMilliNodeHours { get; set; }
Property Value
Type Description
System.Int64