Feast v0.3.0

This release makes major changes to the Feast data model by introducing Feature Sets, along with all new APIs and SDKs for both online and batch serving.

Change summary:

• Introduced Feature Sets as a concept with a new Feast Core API and Feast Serving API.
• Upgraded Python SDK to support new Feast API. Allows for management of Feast as a library or through the command line.
• Implemented a Golang SDK and Java SDK to support the new Feast Core and Feast Serving APIs.
• Added support for multi-feature set retrieval and joins.
• Added point-in-time correct retrieval for both batch and online serving.
• Added support for an external source in Kafka.
• Added job management to Feast Core to manage ingestion/population jobs to remote Feast deployments.
• Added metrics support via Prometheus and Statsd

Feast v0.1.8

Merge pull request #280 from pradithya/remove_transaction

Remove redis transaction

Feast v0.2.0

This release makes major changes to data processing in the ingestion layer of Feast. By decoupling ingestion into two phases, Feast v0.2.0 allows Feast to support decentralized serving with centralized feature management.

Change summary:

• A centralized stream is introduced in Feast for managing state for all consuming Feast deployments.
• Ingestion is decoupled and now produces data to the stream instead of starting jobs that directly ingest to stores.
• Feast serving deployments consume from this central feature stream. This consumption is handled by long running jobs.

Feast v0.1.2

This release adds filtering capability when retrieving feature values from Feast Warehouse.

Given the following entity and features names:

entity: person
feature_names:
- age
- height
- address_city
- address_country

This release allows the retrieval of feature values for person entity from Warehouse where address_city = Bandung, as opposed to retrieving all the feature values for all address_city and performing the post-filtering at the client side.

Docker images:

gcr.io/kf-feast/feast-core:0.1.2
gcr.io/kf-feast/feast-serving:0.1.2

Python SDK:

pip install feast==0.1.2

Feast v0.1.1

This release contains an update to Feast Core:

• Fix BigQuery query template to retrieve training data
  Previous query template has column names and full table id with incorrect values, resulting in Feast Core failing to retrieve training data from BigQuery.

Docker images:

gcr.io/kf-feast/feast-core:0.1.1
gcr.io/kf-feast/feast-serving:0.1.1

Feast v0.1.0

Feast version 0.1.0 mainly contains updates to unit and integration tests and various validations and checks to catch runtime exceptions.

In the feature spec side, it is now optional to include store information so that a feature spec only contains feature name, data types and owner, without attaching store information which may not be relevant/known to feature creators.

This release includes:

• Feast Docker images:
  gcr.io/kf-feast/feast-core:0.1.0
gcr.io/kf-feast/feast-serving:0.1.0
• Feast CLI binary attached in this release
• Feast Python SDK via pypi:
  pip install -U feast==0.1.0.*

Please refer to the documentation in the repo for more details.