dot-assignment_lazy: Solve a lazy_cost_spec (memory_mode = "lazy" backend for...
In couplr: Optimal Pairing and Matching via Linear Assignment
.assignment_lazy R Documentation
Solve a lazy_cost_spec (memory_mode = "lazy" backend for assignment())
Description
Mirrors assignment()'s contract (same result shape) but computes costs
on demand from the underlying feature data instead of a materialized
matrix. Only "jv" and "auction" are supported – every other method is
fundamentally dense (repeated full-matrix scans, or an algorithm not yet
templated for a lazy cost source) and gets a clear error here rather than
a silent dense fallback that would defeat the point of memory_mode = "lazy".
Usage
.assignment_lazy(cost, maximize = FALSE, method = "auto", auction_eps = NULL)
couplr documentation built on Sept. 17, 2026, 1:08 a.m.
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| .assignment_lazy | R Documentation |
Solve a lazy_cost_spec (memory_mode = "lazy" backend for assignment())
Description
Mirrors assignment()'s contract (same result shape) but computes costs
on demand from the underlying feature data instead of a materialized
matrix. Only "jv" and "auction" are supported – every other method is
fundamentally dense (repeated full-matrix scans, or an algorithm not yet
templated for a lazy cost source) and gets a clear error here rather than
a silent dense fallback that would defeat the point of memory_mode = "lazy".
Usage
.assignment_lazy(cost, maximize = FALSE, method = "auto", auction_eps = NULL)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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