Feat evaluators

[maximilianwerk]

First attempt on Evaluation with our dataset. Missing:

• conversion from class dataset.
• having summary with averaged NDCG etc.

[codecov]

Codecov Report

Merging #224 (72d387a) into main (89511dc) will increase coverage by 0.93%.
The diff coverage is 98.21%.

@@            Coverage Diff             @@
##             main     #224      +/-   ##
==========================================
+ Coverage   86.99%   87.92%   +0.93%     
==========================================
  Files          30       35       +5     
  Lines        1668     1781     +113     
==========================================
+ Hits         1451     1566     +115     
+ Misses        217      215       -2     

Flag	Coverage Δ
finetuner	87.92% <98.21%> (+0.93%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
finetuner/tuner/evaluation.py	98.18% <98.18%> (ø)
finetuner/__init__.py	74.19% <100.00%> (+0.86%)	⬆️
finetuner/tailor/keras/__init__.py	83.63% <0.00%> (-0.68%)	⬇️
finetuner/helper.py	73.52% <0.00%> (ø)
finetuner/embedding.py	77.77% <0.00%> (ø)
finetuner/labeler/__init__.py	0.00% <0.00%> (ø)
finetuner/tuner/dataset/samplers.py	100.00% <0.00%> (ø)
finetuner/tuner/summary.py
finetuner/tuner/callback/progress_bar.py	98.07% <0.00%> (ø)
finetuner/tuner/dataset/base.py	92.68% <0.00%> (ø)
... and 12 more

---

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[hanxiao]

finetuner/tuner/metrics.py is redundant to me

[bwanglzu]

one minor comment

[bwanglzu]

some comments

[bwanglzu]

LGTM!

[gmastrapas]

@hanxiao can you review the changes wrt the metrics.py file?

Done