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### Willingness to contribute
No. I cannot contribute this feature at this time.
### Proposal Summary
We request that MLflow provide a mechanism for storing additional metadata for datasets.
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Right now, our [first MVP1 template](https://github.com/biothings/bte_trapi_query_graph_handler/blob/main/data/templates/Drug-treats-Disease/Chem-treats-DoP.json) queries the root of the treats predic…
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I've noticed it takes several times longer for `xgbse` to score the models using the built-in scoring functions (`concordance_index`/`approx_brier_score`) than it takes for the models to fit. Is this …
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### 🚀 The feature
This is a good task for a new contributor
We have a few utility functions to perform AutoEval:
https://github.com/hegelai/prompttools/blob/main/prompttools/utils/autoeval.py…
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I tried running some of the provided examples and got the following error:
```
---------------------------------------------------------------------------
TypeError …
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### Describe the bug
I am trying to deploy my Azure ML model to an online endpoint hosted on Azure, as described in the documentation https://learn.microsoft.com/en-us/azure/machine-learning/how-to…
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### Willingness to contribute
Yes. I would be willing to contribute this feature with guidance from the MLflow community.
### Proposal Summary
In the experiment view, the dataset select UI componen…
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This is related to: https://github.com/explodinggradients/ragas/issues/681
**Describe the bug**
TestGeneration launches an error with default example of https://docs.ragas.io/en/stable/concepts/te…
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**What would you like to be added**:
Right now, model management is a tricky problem in the cluster, it's big, so we need to cache them in the node just like images, however, kubelet will take …
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Can we add some metrics or a relative scoring mechanism or something like that to understand how good the models are?