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Project Meeting 2024.12.17
rcopperman edited this page Dec 17, 2024
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- Estimation Enhancements
- Estimation Enhancements
- Functionality enhancements are fully implemented
- Old code has been removed
- File type format is now parquet as default
- Added "Estimation_table_recipes"
- Tested on SANDAG example
- Larch enhancements
- Added Analyze Predictions tool
- Similar to Alogit's predict function; Takes choices and model probabilities of the choices and segment by attribute of the choosers
- Calculates statistical significance between chooser attributes
- Shows results as a boxplot-esque figure.
- Can customize bins for each chooser attributes
- Can apply a weighting function, to reweight observations to count for relative frequencies in your dataset vs actual
- For MNL estimation, won't use weights; but for viewing against segmented attributes you can review using the weights
- Added Elasticity calculation
- calculates the elasticity of demand with respect to various input variables
- Can segment by population or chooser attribute
- Added Full Probability Array
- Can change anything and recalculate the probability array
- Similar to Alogit's predict function; Takes choices and model probabilities of the choices and segment by attribute of the choosers
- Added Analyze Predictions tool
- Next steps - finish clean-up and testing; complete documentation; test/implement with PSRC (post-TRB, end of January)
- Functionality enhancements are fully implemented