StephanAkkerman / crypto-forecasting-benchmark

This repository contains the codebase used in the research conducted for the paper titled "Benchmarking Cryptocurrency Forecasting Models in the Context of Data Properties and Market Factors." The study involved a rigorous assessment of thirteen different time series forecasting models over twenty-one cryptocurrencies and four distinct time frames.
MIT License
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Bump ray from 2.4.0 to 2.6.3 #27

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Bumps ray from 2.4.0 to 2.6.3.

Release notes

Sourced from ray's releases.

Ray-2.6.3

The Ray 2.6.3 patch release contains fixes for Ray Serve, and Ray Core streaming generators.

Ray Core

🔨 Fixes:

  • [Core][Streaming Generator] Fix memory leak from the end of object stream object #38152 (#38206)

Ray Serve

🔨 Fixes:

  • [Serve] Fix serve run help message (#37859) (#38018)
  • [Serve] Decrement ray_serve_deployment_queued_queries when client disconnects (#37965) (#38020)

RLib

📖 Documentation:

Ray-2.6.2

The Ray 2.6.2 patch release contains a critical fix for ray's logging setup, as well fixes for Ray Serve, Ray Data, and Ray Job.

Ray Core

🔨 Fixes:

  • [Core] Pass logs through if sphinx-doctest is running (#36306) (#37879)
  • [cluster-launcher] Pick GCP cluster launcher tests and fix (#37797)

Ray Serve

🔨 Fixes:

  • [Serve] Apply request_timeout_s from Serve config to the cluster (#37884) (#37903)

Ray Air

🔨 Fixes:

Ray-2.6.1

The Ray 2.6.1 patch release contains a critical fix for cluster launcher, and compatibility update for Ray Serve protobuf definition with python 3.11, as well doc improvements.

⚠️ Cluster launcher in Ray 2.6.0 fails to start multi-node clusters. Please update to 2.6.1 if you plan to use 2.6.0 cluster launcher.

Ray Core

🔨 Fixes:

  • [core][autoscaler] Fix env variable overwrite not able to be used if the command itself uses the env #37675

Ray Serve

🔨 Fixes:

... (truncated)

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dependabot[bot] commented 1 year ago

Superseded by #34.