Add means for evaluation/calibration of embedding models
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start by reviewing the linked StellarGraph calibration example and Neo4j node-classification documentation, then locate BlueGraph's embedding-model and link-prediction entry points. Define how validation links or k-fold splits should be reserved and evaluated; done means the project has a documented, usable evaluation path for embedding models.
Written by the indexing model from the issue text.
Description
We need to have means for reserving a validation set (or even make a k-fold cross validation) for the embedding models (usually based on link prediction, i.e. reserve sets of links for validation).
Useful references:
- Dominant language
- Python
- Stars
- 34
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from BlueBrain/BlueGraph
-
Difficulty 5/5 Over a week Newbie friendliness 15/100
-
enhancement
Difficulty 5/5 Over a week Newbie friendliness 25/100
-
bug
-
enhancement
Difficulty 5/5 Over a week Newbie friendliness 25/100
All issues in BlueBrain/BlueGraph
Similar issues
-
essnmx good first issue
Difficulty 1/5 Under an hour Newbie friendliness 95/100
-
[Feature] 奇物选择添加优先级 Open
Difficulty 2/5 1-3 hours Newbie friendliness 65/100
syfoud/Simulated_Scepter#174 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
Giskard-AI/giskard-oss#2840 · 1 comment ·
-
A claim comment carrying the issue number is silently declined while the workflow reports success Openarea: repo bug perceived difficulty: 2
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
yeti-platform/yeti#1380 ·