amici.amici.ReturnDataPtr

class amici.amici.ReturnDataPtr(*args)

Swig-Generated class that implements smart pointers to ReturnData as objects.

Attributes

FIM	nplist x nplist, row-major)
J	nx x nx, row-major)
chi2	chi2 value
cpu_time	computation time of forward solve [ms]
cpu_timeB	computation time of backward solve [ms]
llh	loglikelihood value
nJ	dimension of the augmented objective function for 2nd order ASA
ne	number of events
newton_maxsteps	maximal number of newton iterations for steady state calculation
nk	number of fixed parameters
nmaxevent	maximal number of occurring events (for every event type)
np	total number of model parameters
nplist	number of parameter for which sensitivities were requested
nt	number of considered timepoints
numerrtestfails	nt)
numerrtestfailsB	nt)
numnonlinsolvconvfails	number of linear solver convergence failures forward problem (dimension: nt)
numnonlinsolvconvfailsB	number of linear solver convergence failures backward problem (dimension: nt)
numrhsevals	nt)
numrhsevalsB	nt)
numsteps	nt)
numstepsB	nt)
nw	number of columns in w
nx	number of states
nx_solver	number of states with conservation laws applied
nx_solver_reinit	number of solver states to be reinitialized after preequilibration
nxtrue	number of states in the unaugmented system
ny	number of observables
nytrue	number of observables in the unaugmented system
nz	number of event outputs
nztrue	number of event outputs in the unaugmented system
o2mode	flag indicating whether second order sensitivities were requested
order	nt)
posteq_cpu_time	computation time of the steady state solver [ms] (postequilibration)
posteq_cpu_timeB	computation time of the steady state solver of the backward problem [ms] (postequilibration)
posteq_numlinsteps	number of linear steps by Newton step for steady state problem.
posteq_numsteps	number of Newton steps for steady state problem (preequilibration) [newton, simulation, newton] (length = 3) (postequilibration)
posteq_numstepsB	number of simulation steps for adjoint steady state problem (postequilibration) [== 0 if analytical solution worked, > 0 otherwise]
posteq_status	flags indicating success of steady state solver (postequilibration)
posteq_t	time when steadystate was reached via simulation (postequilibration)
posteq_wrms	weighted root-mean-square of the rhs when steadystate was reached (postequilibration)
preeq_cpu_time	computation time of the steady state solver [ms] (preequilibration)
preeq_cpu_timeB	computation time of the steady state solver of the backward problem [ms] (preequilibration)
preeq_numlinsteps	number of linear steps by Newton step for steady state problem.
preeq_numsteps	number of Newton steps for steady state problem (preequilibration) [newton, simulation, newton] (length = 3)
preeq_numstepsB	number of simulation steps for adjoint steady state problem (preequilibration) [== 0 if analytical solution worked, > 0 otherwise]
preeq_status	flags indicating success of steady state solver (preequilibration)
preeq_t	time when steadystate was reached via simulation (preequilibration)
preeq_wrms	weighted root-mean-square of the rhs when steadystate was reached (preequilibration)
pscale	scaling of parameterization (lin,log,log10)
rdata_reporting	reporting mode
res	nt*ny, row-major)
rz	nmaxevent x nz, row-major)
s2llh	(nJ-1) x nplist, row-major)
s2rz	second order parameter derivative of event trigger output (dimension: nmaxevent x nztrue x nplist x nplist, row-major)
sensi	sensitivity order
sensi_meth	sensitivity method
sigmay	nt x ny, row-major)
sigmaz	nmaxevent x nz, row-major)
sllh	nplist)
sres	nt*ny x nplist, row-major)
srz	nmaxevent x nz x nplist, row-major)
ssigmay	nt x nplist x ny, row-major)
ssigmaz	parameter derivative of event output standard deviation (dimension: nmaxevent x nz, row-major)
status	status code
sx	nt x nplist x nx, row-major)
sx0	nplist x nx, row-major)
sx_ss	nplist x nx, row-major)
sy	nt x nplist x ny, row-major)
sz	nmaxevent x nz, row-major)
ts	nt)
w	w data from the model (recurring terms in xdot, for imported SBML models from python, this contains the flux vector) (dimensions: nt x nw, row major)
x	nt x nx, row-major)
x0	nx)
x_ss	nx)
xdot	nx)
y	nt x ny, row-major)
z	nmaxevent x nz, row-major)