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We learned in the ODOT statewide model application that we could use an order of magnitude less balancer iterations, which cut runtime by 50%, and still achieve very similar results. We only changed the already exposed setting MAX_BALANCE_ITERATIONS_SEQUENTIAL: 1000 in our tests. Long term, we may want to expose the additional settings in balancer.py.
The text was updated successfully, but these errors were encountered:
* update package version number as well
* Allow non-binary incidence (#123)
* Allow non-binary incidence
* style
* update tests to pass
* add some progress indication
* tidy up validation script, use histogram for a histogram
* fix render and some typos
* increment version
* deprecate py2.7
* Multiprocess (#130)
* [Bugfix] Allow seed and meta geography to be the same (#139)
* Fixes bug where if the seed geography is the same as the meta_geography, pandas has a small panic attack and the run will fail.
* add cytoolz to the "requirements"
* fix another activitysim change
* Absolute bounds (#136)
* adding upper/lower bounds to weighting use case
* #137, #134, #133, #131
Co-authored-by: Jamie Cook <[email protected]>
Co-authored-by: Blake Rosenthal <[email protected]>
Co-authored-by: Ben Stabler <[email protected]>
Co-authored-by: Leah Flake <[email protected]>
We learned in the ODOT statewide model application that we could use an order of magnitude less balancer iterations, which cut runtime by 50%, and still achieve very similar results. We only changed the already exposed setting
MAX_BALANCE_ITERATIONS_SEQUENTIAL: 1000
in our tests. Long term, we may want to expose the additional settings inbalancer.py
.The text was updated successfully, but these errors were encountered: