CompileML good first issues (Python)

Gate experiment: cross-fitted α sweep with event thinning on public data — decides 0.10.0 15 days ago

help wanted credit-risk

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

Stability monitoring: decompose score drift exactly, rather than reimplement PSI about 1 month ago

enhancement help wanted credit-risk

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

COBOL export: emit calibrated PD and reason codes about 1 month ago

enhancement help wanted

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

Fair lending: a three-layer audit, with exact attribution doing the part nothing else can about 1 month ago

enhancement help wanted credit-risk

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

Quantile band builders emit edges that build_artifact rejects on low base rates about 2 months ago

bug help wanted credit-risk

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

export_sql emits invalid SQL for a single-band artifact about 2 months ago

bug help wanted good first issue

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

Document compatibility with WOE-transformed features 2 months ago

documentation good first issue credit-risk

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

FAQ: why not PMML, ONNX, or m2cgen? 2 months ago

documentation good first issue

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

Champion/challenger: diff two artifacts at the band and decision level 2 months ago

enhancement help wanted

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

Leaf-time exact attribution: remove the O(p²) explanation cost 2 months ago

enhancement help wanted

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

Report distillation retention by segment, not just globally 2 months ago

enhancement help wanted credit-risk

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

Support monotone feature constraints in the distilled whitebox 2 months ago

enhancement help wanted credit-risk

orgoca/CompileML

0

Compile tree-ensemble models into deterministic, auditable decision artifacts — score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL.

Python

#cobol#credit-risk#credit-scoring#explainable-ai#fintech#interpretability#lightgbm#machine-learning#mlops#model-deployment#model-governance#xgboost

orgoca/CompileML

Open Issues Need Help