Manage state information more cleanly
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评估
调研方向
Start by tracing state and exclusion logic across Problem, ModelSubspace, ModelSpace, and CandidateSpace, including the state changes from #128. Then inspect graph_iteration_layers and Problem.state to determine how iteration methods should be represented. Done means state is managed separately from CandidateSpace and plotting makes FAMoS method switches clear.
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描述
Currently, the method state information is mostly stored in the candidate space object. All state information could be moved into a separate state object, such that the candidate space is no longer stateful. e.g. there are a few objects (Problem, ModelSubspace, ModelSpace, CandidateSpace) that each contain some logic to manage exclusions -- this could all be moved to the state object.
State information (some of which is only used by the FAMoS method currently):
- each iteration:
- the identified models
- the calibrated models
- the method
- exclusions (accumulative over iterations)
Partially resolved by #128 , where all calibrated models from all iterations are now stored in Problem.state.
Use this in plotting code too, e.g.:
- add method information from each iteration to
graph_iteration_layers, to make FAMoS method switches clear
- 主要语言
- Python
- 星标
- 14
- 派生
- 1
- PR 合并指标
- 30 天内没有已合并 PR
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PEtab-dev/petab_select 的其他 Issue
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难度 4/5 3-5 天 新手友好度 35/100
PEtab-dev/petab_select#163 ·
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难度 2/5 1-3 小时 新手友好度 45/100
PEtab-dev/petab_select#162 ·
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Subset priors可能重新可做 @dilpath 于 501 天前认领，目前没有进行中的 PR。 未关闭
PEtab-dev/petab_select#159 · 1 个 reaction · 已指派 1 人 ·
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难度 2/5 1-3 小时 新手友好度 35/100
PEtab-dev/petab_select#158 ·
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难度 5/5 一周以上 新手友好度 15/100
PEtab-dev/petab_select#157 ·
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