mlflow / mlflow/mlp-regression-example
facing error in evaluation step
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 7
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
hi
i am encountering issue with evaluation step when i am trying to run evaluation step face error given below:
if color == "shap_red":
^^^^^^^^^^^^^^^^^^^
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
can you explain that what i am doing wrong or issue behinde.
Contributor guide
No contributing guide indexed for this repository
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.
Research direction
Start by locating the evaluation step that reaches the shown if color == "shap_red" expression and reproduce the error. Determine why the comparison receives an array; done means the evaluation step completes without the ambiguous truth-value exception.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100