Group Then Train
A 3-step recipe with Amazon Forecast. We can help you get access.
Recipe · 3 steps
Group Then Train
with Amazon Forecast · Artificial Intelligence Management
Create a dataset group, wait until ACTIVE, then train a predictor.
- Create the dataset group from the supplied dataset ARNs.
- List dataset groups and confirm the newly created group has reached the ACTIVE status. Repeat this step while the group is still being created.
- Train a predictor against the now-ACTIVE dataset group.
What you'll need to have ready
- datasetGroupName: A name for the dataset group.
- domain: The domain associated with the dataset group.
- datasetArns: The dataset ARNs to include in the group.
- predictorName: A name for the predictor.
- forecastHorizon: The number of time-steps to predict.
- inputDataConfig: The training input configuration referencing the dataset group.
- featurizationConfig: The featurization configuration for the predictor.
For your developer
Arazzo workflow amazon-forecast:group-then-train, 3 operations: CreateDatasetGroup → ListDatasetGroups → CreatePredictor. Specs on APIs.io.