According to the Polaris website, it states that the higher the sparsity of the data, the better the memory efficiency.
What exactly does this “memory efficiency” refer to?
Does it simply refer to the model size?
@kimur1111
Model size is determined on the amount of non Default data (Trues, numbers, text, list formatted line items that are not blank). Polaris performs very well with sparse data, so it is only calculating on intersections that have "valid" (non null) data.
The more sparse data means that polaris as engine allocates memory only for non- default data , so if there are large blanks , memory is only allocated for inntrsection where data is there , hence polaris is considered better
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