`nan` / `-inf` from computing hinge features across uniform covariate values

[earth-chris]

covariates with all zeros lead to divide-by-zero errors during hinge feature calculations. These should either be handled by dropping those covariates or by using something like np.divide(this, that, where=that > 0)