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Deploy Your Model
This feature is being deprecated and will be replaced with Plainsight Pipelines.
Once you have successfully trained your model, you are ready to deploy it for testing and generating predictions on your data. Deployed models allow you to:
To deploy your model, simply start the API from the model version details dashboard.
To access these features, you must be an Admin or Project Manager.
- 1.Navigate to the model version details of the model version you want to deploy.
- 2.In the Predictions API section of the dashboard, the Image API status will display "Inactive". Click "Start Image API" to deploy the model version.
The API will begin initializing which can take several minutes. When it completes, the status will change to "Active" and the provided Image API URL endpoint will be ready to accept requests.
Click "Start Image API" to stop a deployed model
Resources are used while the API is active. Please be aware of your usage as it may affect billing. Users should consider stopping the API when not in use.
Plainsight's Inference API takes an image and returns detections/predictions based on your trained model. Use the provided API endpoint to generate ML predictions with your model version. Read more about how to use the API here:
When not in use, it's recommended that the API be stopped to prevent unnecessary consumption of resources. This can be done from the model version details of your deployed model.
- 1.Navigate to the model version details of the model whose deployment you want to stop.
- 2.In the API Status section of the dashboard, the status will display "Active". Click "Stop Image API" to stop the deployment and prevent the model from using further resources.
Click "Stop Image API" to stop a deployed model
You can monitor the status of the APIs and model deployments by viewing the Model Versions table.
Deployment Status is listed in the Model Versions table.