Remove yq

[tintinrevient]

Changes

I missed the CML file update.

Please include a summary of the changes and the related issue. Please also
include relevant motivation and context. List any dependencies that are required
for this change.

Checklist

• I broke the PR down so that it contains a reasonable amount of changes for an effective review
• I performed a self-review of my code. Amongst other things, I have commented my code in hard-to-understand areas.
• I made corresponding changes to the documentation
• I added tests that prove my fix is effective or that my feature works
• I accounted for dependent changes to be merged and published in downstream modules

[tintinrevient]

✅ Supervised models have all passed validation.

Metric,Value
Overall ACC,0.0
Overall RACCU,0.0030303030303030303
Overall RACC,0.0
Kappa,0.0
Gwet AC1,-0.0030395136778115636
Bennett S,-0.00303951367781155
Kappa Standard Error,0.0
Kappa Unbiased,-0.00303951367781155
Scott PI,-0.00303951367781155
Kappa No Prevalence,-1.0
Kappa 95% CI,"(0.0, 0.0)"
Standard Error,0.0
95% CI,"(0.0, 0.0)"
Chi-Squared,None
Phi-Squared,None
Cramer V,None
Response Entropy,7.366322214245807
Reference Entropy,7.366322214245807
Cross Entropy,0
Joint Entropy,7.366322214245807
Conditional Entropy,-0.0
Mutual Information,7.366322214245807
KL Divergence,None
Lambda B,1.0
Lambda A,1.0
Chi-Squared DF,108241
Overall J,"(0.0, 0.0)"
Hamming Loss,1.0
Zero-one Loss,165
NIR,0.006060606060606061
P-Value,1
Overall CEN,0.0
Overall MCEN,0.0
Overall MCC,0.0
RR,0.5
CBA,0.0
AUNU,None
AUNP,None
RCI,1.0
Pearson C,None
TPR Micro,0.0
TPR Macro,None
CSI,None
ARI,None
TNR Micro,0.9969604863221885
TNR Macro,0.996969696969697
Bangdiwala B,None
Krippendorff Alpha,0.0
SOA1(Landis & Koch),Slight
SOA2(Fleiss),Poor
SOA3(Altman),Poor
SOA4(Cicchetti),Poor
SOA5(Cramer),None
SOA6(Matthews),Negligible
SOA7(Lambda A),Perfect
SOA8(Lambda B),Perfect
SOA9(Krippendorff Alpha),Low
SOA10(Pearson C),None
FPR Macro,0.00303030303030305
FNR Macro,None
PPV Macro,None
NPV Macro,0.996969696969697
ACC Macro,0.9939393939393939
F1 Macro,0.0
FPR Micro,0.003039513677811523
FNR Micro,1.0
PPV Micro,0.0
F1 Micro,0.0
NPV Micro,0.9969604863221885
Spearman,0.011855849117089201

✅ Zero-shot models have all passed validation.

Metric,Value
Overall ACC,0.0
Overall RACCU,0.00010007998789141575
Overall RACC,0.0
Kappa,0.0
Gwet AC1,-0.00010009004298543876
Bennett S,-0.00010009008107296567
Kappa Standard Error,0.0
Kappa Unbiased,-0.00010009000489789399
Scott PI,-0.00010009000489789399
Kappa No Prevalence,-1.0
Kappa 95% CI,"(0.0, 0.0)"
Standard Error,0.0
95% CI,"(0.0, 0.0)"
Chi-Squared,None
Phi-Squared,None
Cramer V,None
Response Entropy,12.286557761608659
Reference Entropy,12.286549508613042
Cross Entropy,0
Joint Entropy,12.286549508613042
Conditional Entropy,-0.0
Mutual Information,12.286557761608659
KL Divergence,None
Lambda B,1.0
Lambda A,1.0
Chi-Squared DF,99820081
Overall J,"(0.0, 0.0)"
Hamming Loss,0.9999999999999999
Zero-one Loss,4996
NIR,0.00020016012810248197
P-Value,1
Overall CEN,0.0
Overall MCEN,0.0
Overall MCC,0.0
RR,0.5
CBA,0.0
AUNU,None
AUNP,None
RCI,1.0000006717097922
Pearson C,None
TPR Micro,0.0
TPR Macro,None
CSI,None
ARI,None
TNR Micro,0.999899909957026
TNR Macro,0.9998999199359487
Bangdiwala B,None
Krippendorff Alpha,7.616744806910965e-11
SOA1(Landis & Koch),Slight
SOA2(Fleiss),Poor
SOA3(Altman),Poor
SOA4(Cicchetti),Poor
SOA5(Cramer),None
SOA6(Matthews),Negligible
SOA7(Lambda A),Perfect
SOA8(Lambda B),Perfect
SOA9(Krippendorff Alpha),Low
SOA10(Pearson C),None
FPR Macro,0.00010008006405126668
FNR Macro,None
PPV Macro,None
NPV Macro,0.9998999200121163
ACC Macro,0.999799839948065
F1 Macro,0.0
FPR Micro,0.00010009004297395485
FNR Micro,1.0
PPV Micro,0.0
F1 Micro,0.0
NPV Micro,0.999899909957026
Spearman,