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Model Configuration

The arguments run_config and estimate_config are collections of parameters that control the run() and estimate() method, respectively. In addition to the mentioned entries ``compute_capacity_flag'', ``capacity_string'', ``weights_for_simulation_string'', and ``weights_for_estimation_string'', they can contain entries ``sample_proportion_locations'' and ``sample_size_locations''. Both entries control the size of sampled alternatives, the first one as a relative number, the latter one as an absolute number. The latter one has a priority over the first one.

estimate_config can also contain an entry 'chunk_specification_for_estimation', which should be an object of class ChunkSpecification (see Section 22.7.3). It controls the number of chunks in which the sampling is done for the estimation.


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