Tecton

New Feature Retrieval SDK Methods

  • Tony Chu
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Published: October 8, 2021
Last updated: December 1, 2021
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Tecton is releasing a new API to be used for feature retrieval. For fetching features from the offline store, we’ve introduced the method get_historical_features. For fetching features from the online store, we’ve introduced the method get_online_features. Both these methods can be called on Feature Services, Feature Views, and Feature Tables.

These methods will replace existing methods get_feature_dataframeget_feature_vectorget_featurespreview, and the module level functions tecton.get_historical_features and tecton.get_online_features. These functions will be deprecated in the future so please transition into using the new api.

There is also a new method introduced for data sources. On a BatchDataSource or a StreamDataSource, we will be deprecating the dataframe and previewmethods, and instead introducing the get_dataframe method. This returns the data from the data source as a TectonDataFrame. You can filter the data fetched using the start_time and end_time parameters.

The API details can be found here under each FeatureView type.

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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

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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