Optimization error
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start by reproducing the five-item confirmatory factor analysis described in the issue, using the code and installed versions shown in the screenshots. Inspect the ABNORMAL_TERMINATION_IN_LNSRCH output and determine whether the issue identifies a reproducible library problem or only a model-specific optimization failure; a useful resolution would document the cause and a justified way to handle it.
Written by the indexing model from the issue text.
Description
Hi guys,
I hope you are very well.
I would like to inquire about the ABNORMAL_TERMINATION_IN_LNSRCH optimization error when performing the 5-item confirmatory factor analysis that is explained by one latent variable.
I have found this same issue in other libraries and in R, where they indicate that it can occur in functions where the surface is very flat, in fact if I evaluate these same items by exploratory factor analysis with one component, the factor loadings are very close to each other.
I can do something to avoid this?, What is your opinion of what is happening?, or I would really appreciate if you could tell me how I can justify it, since the study is intended to be a scientific publication.
I leave screenshots with part of the code and the versions I have installed.
Best regards.
Here i define my variables:
and then, the problem appears like this:
- Dominant language
- Python
- Stars
- 6
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
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