Comments (3)
Hi,
The requirements for training a model is to have 1000 records of combined interaction data (after filtering by eventType and eventValueThreshold, if provided). This information can be found in the documentation here.
You can use an event tracker and a call to the PutEvents operation to record your interactions.
After you have collected 1000+ interactions, you can chose a recipe and train a model.
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Thank you @annainspace,
I am wondering how can I know that I reach to 1000 records when I use event tracker only (that means no historical record in S3 before)
from amazon-personalize-samples.
Hi,
You can use an AWS lambda, together with CloudWatch to track your ingestion.
Another option is to periodically export the interactions dataset and check how many events have been recorded.
from amazon-personalize-samples.
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