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Releases: zero-one-group/geni

v0.0.42 - Warning Fixes & Doc Updates

28 Nov 17:22
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  1. Fix already refers warnings under Clojure 1.11. (#348)
  2. Some minor updates to the documentations.

Thank you @skylee03!

v0.0.41 - Support for Java 17

30 Oct 01:53
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Version bump v0.0.41 (#347)

* version bump to v0.0.41

* update docker project.clj

v0.0.40 - g/->dataset fix

18 Jan 08:03
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version bump to v0.0.40 (#341)

v0.0.39 - Docs, Upgrades and Improvements in g/->dataset

10 Jan 09:22
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version bump to v0.0.39 (#339)

v0.0.38 - Upgraded Spark to 3.1.0

06 Jan 11:38
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And other outdated dependencies.

v0.037 - Fix for Collection of Sparse Vectors

05 Dec 15:35
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  • Sparse vectors collection: now collected as a sequence of maps instead of a sequence of sequences.

v0.0.35 - Support for Arrow Collection

11 Nov 13:18
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  • Arrow collection: Spark Datasets can now be written to partitioned Arrow files using g/collect-to-arrow thanks to @behrica with #284!
  • Improved docs: Included collect actions on Spark and data-oriented schemas.
  • Improved install templates: added an example deps.edn for installation using Clojure CLI tools.

v0.0.34 - Test and Documentation Improvements

28 Oct 01:18
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Minikube Guide: verified on another machine and proof-read the text.
Test Improvements: a return to 100% test coverage and added extra safety for streaming tests.
Upgraded nREPL: to version 0.8.3.

v0.0.33 - Managed Tables

21 Oct 01:32
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  • Managed Tables: capability to read/write tables whilst preserving testability. Shout out to @erp12 for the awesome PR!
  • Fixed and Completed Docs: for core, ml and rdd namespaces. We also added a test to prevent regressions of missing docs.

v0.0.32 - Better Documentation

14 Oct 02:05
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Cookbook Restructuring: the cookbook code and texts have been proofread and tested by @agilecreativity. Incomplete steps to complete the walkthrough have been addressed.
Minikube Instructions: basic setup to deploy Geni on a Minikube cluster written by @behrica.
Clojure Formatting: using lein-cljfmt where some parts of the codebase have been restyle thanks to @agilecreativity.
More Spark Docs: better coverage and formatting of Spark docs in the core and ML namespaces.