- Update to README to reflect publication in Neuron.
- Primarily superficial changes ahead of the release of final paper.
- Added a
hess_calc
argument torecoverSim
to control whether error bars are calculated in the recovery of simulated weights. - Added a
hess_calc
argument tocrossValidate
to control whether error bars are calculated in the recovery of simulated weights. - Change display of error bars from 2 standard errors, to 1.96 which maps more precisely to a 95% credible interval.
- Update the analysis function to handle
s_a
ands_b
as inputs. - Update the analysis function to better plot session boundaries.
- Update the analysis function to handle Left/Right sides coded as {0,1}, as well as {1,2}.
- The default z-order (plotting order) of different inputs can now be accessed through
psy.ZORDER
, similar topsy.COLORS
. - Made a few superficial updates to the tutorial notebook.
- This may not be a backward compatible update, apologies in advance!
- Added functionality to
hyperOpt
for returning error bars for the weights returned inbest_wMode
by setting the keyword argumenthess_calc
. - Added functionality to
hyperOpt
for returning error bars for the hyperparameters returned inbest_hyper
by setting the keyword argumenthess_calc
. - Added check to
getMap
raise error if choicesy
are not formatted correctly. - Corrected a minor zero-indexing bug in the cross-validation code.
- Adjusted
runSim
code to simulate and recover models using thesigDay
functionality. - Update documentation to clarify that the order of weights returned in
wMode
is alphabetical with respect to the dictionaryweights
. - Adjust the
__init__.py
file to make commonly used functions more directly accessible. - Large improvements in the plotting functions, including more modularity and configurability.
- Made cross-validation much more straightforward, should be able to get log-likelihood direct from a single function now.
- Refresh of tutorial notebook
- Rename
aux
folder tohelper
to allow for installation in Windows systems