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View All on GitHub README figure: dark-mode variant about 2 hours ago
good first issue
Screen quant/ML feature pipelines for look-ahead bias from late-arriving data: measure each signal's leakage susceptibility and gate release until the cross-section is safe. Python, MIT.
Python
#data-leakage#data-snooping#feature-store#financial-machine-learning#look-ahead-bias#lookahead-bias#machine-learning#point-in-time#point-in-time-data#quantitative-finance#reproducible-research#selection-bias
docs: worked example — building an AsOfDataStore from a pandas DataFrame about 2 hours ago
documentation good first issue
Screen quant/ML feature pipelines for look-ahead bias from late-arriving data: measure each signal's leakage susceptibility and gate release until the cross-section is safe. Python, MIT.
Python
#data-leakage#data-snooping#feature-store#financial-machine-learning#look-ahead-bias#lookahead-bias#machine-learning#point-in-time#point-in-time-data#quantitative-finance#reproducible-research#selection-bias