aws/amazon-sagemaker-clarify
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
PythonApache-2.0
Issues
- 3
Multi-categorical confusion matrix calculation for labels not presented in predicted_labels
#138 opened by xiaoyi-cheng - 2
Bias mitigation and fairness boosting in multi class classification use case
#137 opened by pradeepdev-1995 - 7
Carify job fails in spark mode
#127 opened by lorenzwalthert - 2
Clarify Job Failed due to Predicted Label Column series datatype is not the same as Label Column series
#131 opened by jessieweiyi - 1
- 2
DPL - proportions qa and qd definition interchanged.
#109 opened by Prathzee - 2
Can't recreate smclarify example on AWS SageMaker. Bias report gives: CDDL metrics failed
#106 opened by Oliver-Chalkley - 2
DRR Returns -Infinity for German Dataset
#79 opened by AnkitSiva - 1
Remove old metrics and replace with new ones
#14 opened by pinaraws - 0
- 0
Update function signatures of all metrics to be called from metric_one_vs_all
#38 opened by keerthanvasist - 0
Report only calls pretraining metrics
#39 opened by keerthanvasist - 0
Add CDD and DPL to both pre and post-training
#28 opened by pinaraws