Explicit chunking on all interaction simulate models

[dhensle]

Adds the option of explicit chunking to all interaction simulate models that were not already hooked-up. These include destination choice, location choice, and scheduling.

Also implemented a feature where the explicit_chunk setting can be less than 1. If less than one, it specifies the fraction. So explicit_chunk: 0.1 would mean that there would be 10 chunks. If greater than 1, explicit_chunk remains the total number of rows in the chooser table.

[dhensle]

Sharing some testing results for posterity.

Used TransLink's model at a 10% sample size. No chunking looks like this:

I then set chunk_training to explicit with the following explicit_chunk settings for submodels:

• workplace_location: 0.5
• mandatory_tour_scheduling: 0.25
• non_mandatory_tour_destination: 0.5
• non_mandatory_tour_scheduling: 0.5
• trip_destination: 0.5

(notice the y-axis scale difference from the above plot)

Run time for no chunking was 113.9 minutes and for explicit chunking was 115 minutes -- very minimal increase in runtime.