In HazardForecast and ImpactForecast, the entire sparse matrix is densified before computing the quantiles. This will easily crash for larger, sparse datasets. Instead of densifying the entire matrix, we should densify single columns, and compute the respective quantile individually. This should reduce the memory load of quantile (but can make it a bit slower).
In
HazardForecastandImpactForecast, the entire sparse matrix is densified before computing the quantiles. This will easily crash for larger, sparse datasets. Instead of densifying the entire matrix, we should densify single columns, and compute the respective quantile individually. This should reduce the memory load ofquantile(but can make it a bit slower).