Biogeme

Technical reports

The following technical reports will walk through concrete examples to get familiar with the software.

Code documentation

What was new in Biogeme 3.2.6

Optimization: New optimization algorithms are available for estimation See the documentation of the estimate function, and the optimization module. See also an example.
Stochastic log likelihood: It is now possible to calculate the log likelihood function on a sample (a batch) of the full data file. This is particularly useful with large databases. It can be used in the implementation of a stochastic gradient algorithm, for instance. See documentation.
User's notes: It is possible to include your own notes in the HTML file using the userNotes parameter of the biogeme object. See documentation. See example.
Scaling: It is possible to have Biogeme suggesting the scales of the variables in the database using the suggestScales parameter of the biogeme object. See documentation.
Estimation: A new function quickEstimate performs the estimation of the parameters, and skips the calculation of the statistics. See documentation.
Validation: A new function in the database module allows to split the database in order to prepare an estimation and a validation sets, for out-of-sample validation. See documentation. It is used by the new function validate in the biogeme module. See documentation. See example.
Messages: A new function allows to extract all the messages generated during a run. See documentation. See example. It is also possible to make the logger temporarily silent using the functions temporarySilence and resume.