fix: Move gcp back to 1.47.0 since grpcio-tools 1.48.0 got yanked from pypi #2990
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Signed-off-by: Kevin Zhang <[email protected]>
achals
reviewed
Aug 1, 2022
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| ## Overview | |||
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| Feast (**Fea**ture **St**ore) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference. | |||
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## master #2990 +/- ##
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- Coverage 77.85% 77.84% -0.02%
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- Hits 12893 12891 -2
- Misses 3667 3669 +2
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: achals, kevjumba The full list of commands accepted by this bot can be found here. The pull request process is described here
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| * **Make features consistently available for training and serving** by managing an _offline store_ (to process historical data for scale-out batch scoring or model training), a low-latency _online store_ (to power real-time prediction)_,_ and a battle-tested _feature server_ (for serving pre-computed features online).  | ||
| * **Avoid data leakage** by generating point-in-time correct feature sets so data scientists can focus on feature engineering rather than debugging error-prone dataset joining logic. This ensure that future feature values do not leak to models during training. | ||
| * **Decouple ML from data infrastructure** by providing a single data access layer that abstracts feature storage from feature retrieval, ensuring models remain portable as you move from training models to serving models, from batch models to realtime models, and from one data infra system to another. | ||
| Feast is an open source feature store for machine learning. Feast is the fastest path to productionizing analytic data for model training and online inference. |
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btw @kevjumba why were these changes made? seems like they don't match docs/README.md
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Think this was my bad. Seems like I had missed the jinja template update. Added https://github.com/feast-dev/feast/pull/2994/files to fix
felixwang9817
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Aug 2, 2022
# [0.23.0](v0.22.0...v0.23.0) (2022-08-02) ### Bug Fixes * Add dummy alias to pull_all_from_table_or_query ([#2956](#2956)) ([5e45228](5e45228)) * Bump version of Guava to mitigate cve ([#2896](#2896)) ([51df8be](51df8be)) * Change numpy version on setup.py and upgrade it to resolve dependabot warning ([#2887](#2887)) ([80ea7a9](80ea7a9)) * Change the feature store plan method to public modifier ([#2904](#2904)) ([0ec7d1a](0ec7d1a)) * Deprecate 3.7 wheels and fix verification workflow ([#2934](#2934)) ([040c910](040c910)) * Do not allow same column to be reused in data sources ([#2965](#2965)) ([661c053](661c053)) * Fix build wheels workflow to install apache-arrow correctly ([#2932](#2932)) ([bdeb4ae](bdeb4ae)) * Fix file offline store logic for feature views without ttl ([#2971](#2971)) ([26f6b69](26f6b69)) * Fix grpc and update protobuf ([#2894](#2894)) ([86e9efd](86e9efd)) * Fix night ci syntax error and update readme ([#2935](#2935)) ([b917540](b917540)) * Fix nightly ci again ([#2939](#2939)) ([1603c9e](1603c9e)) * Fix the go build and use CgoArrowAllocator to prevent incorrect garbage collection ([#2919](#2919)) ([130746e](130746e)) * Fix typo in CONTRIBUTING.md ([#2955](#2955)) ([8534f69](8534f69)) * Fixing broken links to feast documentation on java readme and contribution ([#2892](#2892)) ([d044588](d044588)) * Fixing Spark min / max entity df event timestamps range return order ([#2735](#2735)) ([ac55ce2](ac55ce2)) * Move gcp back to 1.47.0 since grpcio-tools 1.48.0 got yanked from pypi ([#2990](#2990)) ([fc447eb](fc447eb)) * Refactor testing and sort out unit and integration tests ([#2975](#2975)) ([2680f7b](2680f7b)) * Remove hard-coded integration test setup for AWS & GCP ([#2970](#2970)) ([e4507ac](e4507ac)) * Resolve small typo in README file ([#2930](#2930)) ([16ae902](16ae902)) * Revert "feat: Add snowflake online store ([#2902](#2902))" ([#2909](#2909)) ([38fd001](38fd001)) * Snowflake_online_read fix ([#2988](#2988)) ([651ce34](651ce34)) * Spark source support table with pattern "db.table" ([#2606](#2606)) ([3ce5139](3ce5139)), closes [#2605](#2605) * Switch mysql log string to use regex ([#2976](#2976)) ([5edf4b0](5edf4b0)) * Update gopy to point to fork to resolve github annotation errors. ([#2940](#2940)) ([ba2dcf1](ba2dcf1)) * Version entity serialization mechanism and fix issue with int64 vals ([#2944](#2944)) ([d0d27a3](d0d27a3)) ### Features * Add an experimental lambda-based materialization engine ([#2923](#2923)) ([6f79069](6f79069)) * Add column reordering to `write_to_offline_store` ([#2876](#2876)) ([8abc2ef](8abc2ef)) * Add custom JSON table tab w/ formatting ([#2851](#2851)) ([0159f38](0159f38)) * Add CustomSourceOptions to SavedDatasetStorage ([#2958](#2958)) ([23c09c8](23c09c8)) * Add Go option to `feast serve` command ([#2966](#2966)) ([a36a695](a36a695)) * Add interfaces for batch materialization engine ([#2901](#2901)) ([38b28ca](38b28ca)) * Add pages for individual Features to the Feast UI ([#2850](#2850)) ([9b97fca](9b97fca)) * Add snowflake online store ([#2902](#2902)) ([f758f9e](f758f9e)), closes [#2903](#2903) * Add Snowflake online store (again) ([#2922](#2922)) ([2ef71fc](2ef71fc)), closes [#2903](#2903) * Add to_remote_storage method to RetrievalJob ([#2916](#2916)) ([109ee9c](109ee9c)) * Support retrieval from multiple feature views with different join keys ([#2835](#2835)) ([056cfa1](056cfa1))
adchia
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Aug 10, 2022
…m pypi (#2990) Fix Signed-off-by: Kevin Zhang <[email protected]>
adchia
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Aug 10, 2022
## [0.22.3](v0.22.2...v0.22.3) (2022-08-10) ### Bug Fixes * Check if on_demand_feature_views is an empty list rather than None for snowflake provider ([#3046](#3046)) ([67af727](67af727)) * Fixing Web UI, which fails for the SQL registry ([#3028](#3028)) ([56d645c](56d645c)) * More explicit error messages ([#2708](#2708)) ([93c1c15](93c1c15)) * Move gcp back to 1.47.0 since grpcio-tools 1.48.0 got yanked from pypi ([#2990](#2990)) ([f7e44da](f7e44da)) * Return an empty infra object from sql registry when it doesn't exist ([#3022](#3022)) ([329bc47](329bc47))
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Signed-off-by: Kevin Zhang [email protected]
What this PR does / why we need it:
Which issue(s) this PR fixes:
Fixes #