Cloud AutoML V1beta1 Client - Class ImageClassificationModelDeploymentMetadata (1.4.17)

Reference documentation and code samples for the Cloud AutoML V1beta1 Client class ImageClassificationModelDeploymentMetadata.

Model deployment metadata specific to Image Classification.

Generated from protobuf message google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata

Methods

__construct

Constructor.

Parameters
NameDescription
data array

Optional. Data for populating the Message object.

↳ node_count int|string

Input only. The number of nodes to deploy the model on. A node is an abstraction of a machine resource, which can handle online prediction QPS as given in the model's node_qps. Must be between 1 and 100, inclusive on both ends.

getNodeCount

Input only. The number of nodes to deploy the model on. A node is an abstraction of a machine resource, which can handle online prediction QPS as given in the model's node_qps.

Must be between 1 and 100, inclusive on both ends.

Returns
TypeDescription
int|string

setNodeCount

Input only. The number of nodes to deploy the model on. A node is an abstraction of a machine resource, which can handle online prediction QPS as given in the model's node_qps.

Must be between 1 and 100, inclusive on both ends.

Parameter
NameDescription
var int|string
Returns
TypeDescription
$this