Comments (7)
Sounds good, the proposed feature is pretty much how we would get it done in BioSTEAM.
As for Spearman correlation, I'll expose the <Model>.table
attribute so that people can do things like:
model.table = model.table.dropna()
Pandas has some excellent methods for data cleaning, so I think leaving this up to the user would be better than adding more optional behaviors that may slow down methods in biosteam.
Thanks!
from biosteam.
Sounds good and I agree on letting users clean up the data! I'll leave this issue open until we have the clear_cache
function in BioSTEAM, but you can close it now if you have it on a separate TODO list, thanks!
from biosteam.
I made a couple of updates to the repository:
- Added a reset_cache method to unit operations and system objects.
<Model>.table
attribute can now be set.- Model spearman method can now take parameters. So
<Model>.spearman(metrics=None)
is now<Model>.spearman(parameters=None, metrics=None)
... You might get a bug due to the change in signatures. - The spearman table uses multiindices just like the
<Model>.table
attribute. We can now do things like:
>>> rhos = model.spearman(parameters, metrics)
>>> rhos[metrics[0].index] # -> metric rhos for all parameters
>>> rhos.loc[parameters[0].index] # -> parameter rhos for all metrics
Could you test it out for any bugs? Once its tested, I'll make upload it to PyPI.
Thanks!
from biosteam.
from biosteam.
Errr I think you forgot to ask the system to re-simulate after clearing the cache? Otherwise it works fine!
from biosteam.
Gotcha, just fixed that, can you test again? Thanks!
from biosteam.
All works well! Thanks for updating this so quickly!
from biosteam.
Related Issues (20)
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from biosteam.