perceptron weight averaging is not standard
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Bug
- Clarity
- Mostly clear
- Activity status
- Stale
- Domain
- machine-learning
Research direction
Read the current Python implementation and compare its averaged-perceptron update with the linked Perl implementation and the referenced CIML chapter. Confirm how averaging is applied to each example within each iteration; done means the implementation follows that standard behavior and its existing checks pass.
Written by the indexing model from the issue text.
Description
My understanding is that for the averaged perceptron, the weights are averaged across each example in each iteration, not just each iteration as in the current implementation (and the perl one here from @sagae: http://people.ict.usc.edu/~sagae/parser/simpledep.pl).
A nice reference with a clever efficiency trick:
http://www.ciml.info/dl/v0_8/ciml-v0_8-ch03.pdf
- Dominant language
- Python
- Stars
- 5
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
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