Reference documentation and code samples for the Cloud AutoML V1 API class Google::Cloud::AutoML::V1::ImageObjectDetectionModelDeploymentMetadata.
Model deployment metadata specific to Image Object Detection.
Inherits
Object
Extended By
Google::Protobuf::MessageExts::ClassMethods
Includes
Google::Protobuf::MessageExts
Methods
#node_count
defnode_count()->::Integer
Returns
(::Integer) — 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
[qps_per_node][google.cloud.automl.v1.ImageObjectDetectionModelMetadata.qps_per_node].
Must be between 1 and 100, inclusive on both ends.
#node_count=
defnode_count=(value)->::Integer
Parameter
value (::Integer) — 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
[qps_per_node][google.cloud.automl.v1.ImageObjectDetectionModelMetadata.qps_per_node].
Must be between 1 and 100, inclusive on both ends.
Returns
(::Integer) — 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
[qps_per_node][google.cloud.automl.v1.ImageObjectDetectionModelMetadata.qps_per_node].
Must be between 1 and 100, inclusive on both ends.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[],[],null,["# Cloud AutoML V1 API - Class Google::Cloud::AutoML::V1::ImageObjectDetectionModelDeploymentMetadata (v1.3.1)\n\nVersion latestkeyboard_arrow_down\n\n- [1.3.1 (latest)](/ruby/docs/reference/google-cloud-automl-v1/latest/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [1.3.0](/ruby/docs/reference/google-cloud-automl-v1/1.3.0/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [1.2.1](/ruby/docs/reference/google-cloud-automl-v1/1.2.1/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [1.1.0](/ruby/docs/reference/google-cloud-automl-v1/1.1.0/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [1.0.1](/ruby/docs/reference/google-cloud-automl-v1/1.0.1/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [0.10.0](/ruby/docs/reference/google-cloud-automl-v1/0.10.0/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [0.9.2](/ruby/docs/reference/google-cloud-automl-v1/0.9.2/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [0.8.0](/ruby/docs/reference/google-cloud-automl-v1/0.8.0/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [0.7.0](/ruby/docs/reference/google-cloud-automl-v1/0.7.0/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [0.6.0](/ruby/docs/reference/google-cloud-automl-v1/0.6.0/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [0.5.1](/ruby/docs/reference/google-cloud-automl-v1/0.5.1/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata)\n- [0.4.8](/ruby/docs/reference/google-cloud-automl-v1/0.4.8/Google-Cloud-AutoML-V1-ImageObjectDetectionModelDeploymentMetadata) \nReference documentation and code samples for the Cloud AutoML V1 API class Google::Cloud::AutoML::V1::ImageObjectDetectionModelDeploymentMetadata.\n\nModel deployment metadata specific to Image Object Detection. \n\nInherits\n--------\n\n- Object \n\nExtended By\n-----------\n\n- Google::Protobuf::MessageExts::ClassMethods \n\nIncludes\n--------\n\n- Google::Protobuf::MessageExts\n\nMethods\n-------\n\n### #node_count\n\n def node_count() -\u003e ::Integer\n\n**Returns**\n\n- (::Integer) --- 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 \\[qps_per_node\\]\\[google.cloud.automl.v1.ImageObjectDetectionModelMetadata.qps_per_node\\]. Must be between 1 and 100, inclusive on both ends.\n\n### #node_count=\n\n def node_count=(value) -\u003e ::Integer\n\n**Parameter**\n\n- **value** (::Integer) --- 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 \\[qps_per_node\\]\\[google.cloud.automl.v1.ImageObjectDetectionModelMetadata.qps_per_node\\]. Must be between 1 and 100, inclusive on both ends. \n**Returns**\n\n- (::Integer) --- 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 \\[qps_per_node\\]\\[google.cloud.automl.v1.ImageObjectDetectionModelMetadata.qps_per_node\\]. Must be between 1 and 100, inclusive on both ends."]]
