SageMaker
- 25 Jul 2024
- 1 Minute to read
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SageMaker
- Updated on 25 Jul 2024
- 1 Minute to read
- Print
- DarkLight
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Overview
Module Details | |
Restart Required? | No |
Steps Exposed? | Yes |
Step Location | Integration > AWS > SageMaker |
Settings Location | System > Settings > Amazon Webservices Settings |
Prerequisites |
The AWS SageMaker steps provide a way to integrate with AWS SageMaker. These steps can be found under Integration > Amazon AWS > SageMaker
Get Predictions for CSVFile
The Get Predictions for CSVFile step will send model data to SageMaker which will return predications for each line in the file.
Input | Description |
---|---|
CSVFile | The CSV file that will be used to provide data for the prediction |
Optional Settings | Inputs to specify different settings that were defined under Amazon Webservice Setting |
Sagemaker Settings | The endpoint name, region name, and endpoint URL for SageMaker will be used by the service call. |
Get Predictions for CSVText
The Get Predictions for CSVText step will send model data to SageMaker which will return a prediction.
Input | Description |
---|---|
Csv Contents | The contents of a CSV file will be used to provide prediction data for a model. |
Optional Settings | Inputs to specify different settings that were defined under Amazon Webservice Setting |
Sagemaker Settings | The endpoint name, region name, and endpoint URL for SageMaker will be used by the service call. |
Get Predictions for JSON
The Get Predictions for JSON step will send model data to SageMaker which will return predictions for each item.
Input | Description |
---|---|
Object To Serialize | A JSON object used to provide the prediction data for a model |
Optional Settings | Inputs to specify different settings that were defined under Amazon Webservice Setting |
Sagemaker Settings | The endpoint name, region name, and endpoint URL for SageMaker will be used by the service call. |
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