Release 0.31

This release changes the way that experiments are added, by ensuring that only initial values will be mapped for 'independent' elements.

Release 0.30

This is a bug fix release, since set_value was sometimes failing to change initial values.

Release 0.29

This release adds a generic set_value function, that makes it easy to change values directly by their display name. For example:

• set_value('(R1).k1', 10) to set a local parameter
• set_value('S', 10, initial=True) to set an initial concentration of a species S

Release 0.28

This release fixes an issue, where it was possible to define fit parameters (parameters to be estimated by parameter estimation), that referred to transient values, rather than initial one.

Release 0.27

This release adds an optional parameter to get_simulation_results, that allows to not update the model parameters. So the simulation results will be generated for the current model state, rather than the solution from the last parameter estimation run if update_parameters=False.

Full Changelog: v0.26...v0.27

Release 0.26

This release fixes an issue creating new experiment descriptions from a python dictionary.

Release 0.25

This version adds the capability of directly manipulating python dictionaries for export / import of parameter estimation setups. Skipping the step of YAML serialization / deserialization if needed. Also full filenames to the export of experimental data files will be returned, so that the setting can be easier applied to new files, without the need to copy files.

Release 0.24

This release makes it possible to export / import the mapping to experimental data files from a COPASI file. The format chosen is YAML:

• example notebook

that way you can quickly transfer mappings from one COPASI file to another one, adjusting just the couple of parameters you like to modify.

Release 0.23

Change the return value of time course data in get_simulation_results, to use the same columns, as the dependent data.

Release 0.22

This release fixes an issue, with get_data_from_experiment, for the case when the default renaming is not being used. Here, the original headers defined in the data file, would only be returned for the first experiment in the file, not in the remaining ones.