amici.ode_export.LogLikelihood

class amici.ode_export.LogLikelihood(identifier, name, value)[source]

A LogLikelihood defines the distance between measurements and experiments for a particular observable. The final LogLikelihood value in the simulation will be the sum of all specified LogLikelihood instances evaluated at all timepoints, abbreviated by Jy

__init__(identifier, name, value)[source]

Create a new Expression instance.

Parameters

Methods Summary

__init__(identifier, name, value)

Create a new Expression instance.

get_id()

ModelQuantity identifier

get_name()

ModelQuantity name

get_val()

ModelQuantity value

set_val(val)

Set ModelQuantity value

Methods

__init__(identifier, name, value)[source]

Create a new Expression instance.

Parameters
get_id()

ModelQuantity identifier

Return type

sympy.core.symbol.Symbol

Returns

identifier of the ModelQuantity

get_name()

ModelQuantity name

Return type

str

Returns

name of the ModelQuantity

get_val()

ModelQuantity value

Return type

sympy.core.expr.Expr

Returns

value of the ModelQuantity

set_val(val)

Set ModelQuantity value

Returns

value of the ModelQuantity