We've posted some data to illustrate the process of fitting model parameters to data.
(Back to the Stats Overview)
You can get the sample file "data.txt" here.
The file is a tab-delimited table containing:
- An iteration_id in the first column.
- A lossfunction (measure of goodness of fit) in the second column
- Parameter values in the remaining columns. (In this case 24 parameters are required to parameterize the model)
Data comes from an optimization run using a genetic algorithm to guide sampling of new parameter proposals iteratively.
The goal is to mimimize the loss function.
- If you have any thoughts about how to work with this data, please add them to the "Stats Methods" page. (Be sure to take a look first at the general overview.)
- Editing and adding pages to this documentation is easy; here's how.
- Ie, if you have a very detailed suggestion, please feel free to create a page for it: just link to it froma quick overview in "Stats Methods", for instance.
- Please also join the discussion.
(See links under "about the project" here.)