pyepo.metric

Performance evaluation

Classes

pyepo.metric.regret(predmodel, optmodel, dataloader)

A function to evaluate model performance with normalized true regret

Parameters:

• predmodel (nn) – a regression neural network for cost prediction

• optmodel (optModel) – an PyEPO optimization model

• dataloader (DataLoader) – Torch dataloader from optDataSet

Returns:

true regret loss

Return type:

float

pyepo.metric.unambRegret(predmodel, optmodel, dataloader, tolerance=1e-05)

A function to evaluate model performance with normalized unambiguous regret

Parameters:

• predmodel (nn) – a regression neural network for cost prediction

• optmodel (optModel) – an PyEPO optimization model

• dataloader (DataLoader) – Torch dataloader from optDataSet

Returns:

unambiguous regret loss

Return type:

float