mindsdb / mindsdb/dataprep_ml

NaN runtime warnings

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bug
Dominant language
Python
Stars
14
Forks
7
Avg merge
15h 27m
Merged PRs (30d)
2

Description

/python3.9/site-packages/numpy/core/fromnumeric.py:3474: RuntimeWarning: Mean of empty slice.
return _methods._mean(a, axis=axis, dtype=dtype,

/python3.9/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the warnings shown from numpy/core/fromnumeric.py and numpy/core/_methods.py, then trace the dataprep_ml caller that supplies the empty input. Determine the expected behavior for that case and confirm that the completed change no longer emits the warnings without altering valid dataframe analysis.

Written by the indexing model from the issue text.

Assessment

Tech stack
numpy, python
Domain
data, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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