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.
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:
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Commits
8a434b4 [core][autoscaler] Fix idle resource status accounting from raylet #38268 (#3...
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Bumps ray from 2.4.0 to 2.6.3.
Release notes
Sourced from ray's releases.
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Commits
8a434b4
[core][autoscaler] Fix idle resource status accounting from raylet #38268 (#3...c8cde88
Downgrade conda (#38022) (#38220)4d31114
[Serve] Fixserve run
help message (#37859) (#38018)1945d8f
[Serve] Decrementray_serve_deployment_queued_queries
when client disconnec...23528ba
[Cherry pick][Core][Streaming Generator] Fix memory leak from the end of obje...4f119ee
[cherry-pick][autoscaler] Pick autoscaler support 3/x (#38205)9210ad3
Update release version (#38194)9a2ecc3
[RLlib][docs] Learner API Docs (#37729) (#38137)f79203d
Update the KubeRay-related docs to v0.6.0 (#37833) (#37901)92ad4ba
[Serve] Applyrequest_timeout_s
from Serve config to the cluster (#37884) (...Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
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