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Model A vs Model B comparison table

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#34 0 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Active
Tech stack
latex, python
Domain
data

Research direction

Start in scripts/evaluate_custom.py and find where saved per-model results are loaded, since the table must be built only from those, not by retraining. Issues #33, #17, #26 and #27 must be merged first, so check whether their outputs exist before starting. Done when results/compare_AB.csv and results/compare_AB.tex are both generated from saved results and contain all seven listed columns.

Written by the indexing model from the issue text.

Description

comparison

Table required by the brief.

Files: scripts/evaluate_custom.py

Tasks
  • Columns: trainable params, MACs, size on disk (KB), int8 KB, training time/epoch, latency, test accuracy
  • Export to results/compare_AB.csv and a LaTeX table results/compare_AB.tex
Done when

CSV and .tex are generated from saved results only.

Depends on

#33 #17 #26 #27

Close with a commit or PR message containing Closes #<this issue>.

Dominant language
Jupyter Notebook
Stars
0
Forks
0
Avg merge
5h 32m
Merged PRs (30d)
5

Getting set up

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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.

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