Resource: Model
API proto representing a trained machine learning model.
JSON representation | |
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{ "name": string, "displayName": string, "datasetId": string, "createTime": string, "updateTime": string, "deploymentState": enum( |
Fields | |
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name |
Output only. Resource name of the model. Format: |
displayName |
Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter. |
datasetId |
Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location. |
createTime |
Output only. Timestamp when the model training finished and can be used for prediction. A timestamp in RFC3339 UTC "Zulu" format, accurate to nanoseconds. Example: |
updateTime |
Output only. Timestamp when this model was last updated. A timestamp in RFC3339 UTC "Zulu" format, accurate to nanoseconds. Example: |
deploymentState |
Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed. |
videoObjectTrackingModelMetadata |
Metadata for video object tracking models. |
VideoObjectTrackingModelMetadata
Model metadata specific to video object tracking.
DeploymentState
Deployment state of the model.
Enums | |
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DEPLOYMENT_STATE_UNSPECIFIED |
Should not be used, an un-set enum has this value by default. |
DEPLOYED |
Model is deployed. |
UNDEPLOYED |
Model is not deployed. |
Methods |
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Perform a batch prediction and return the id of a long-running operation. |
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Creates a model. |
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Deletes a model. |
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Deploys a model. |
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Gets a model. |
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Gets the access control policy for a resource. |
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Lists models. |
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Not used for AutoML Video Intelligence Object Tracking. |
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Sets the access control policy on the specified resource. |
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Removes a deployed model. |