Tecton

Continuous mode for StreamWindowAggregateFeatureView

  • Tony Chu
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Last updated: December 1, 2021
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Continuous mode for Stream Window Aggregate Feature Views now enables new event data to be included in feature values in less than a second. This low ingestion latency can dramatically improve model performance for many use-cases, such as fraud detection or product recommendations.

In order to take advantage of continuous processing mode, all you need to do is set aggregation_slide_period=continuous in your feature view definition.

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Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

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or

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Request a free trial

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

CTA button