Louis Abraham, Gary Bécigneul and Bernhard Schölkopf
For questions and suggestions, join the slack channel: link
Given n people and t testing kits, the characteristics of the test and estimations of the probability for each person to be sick, one wants to optimize the way the tests are used by combining several samples.
We assume the events "the i-th is sick" are independent.
Different metrics can be used. For the moment, the two that are implemented are expected confidence and expected entropy.
The program supports 2 modes of operation:
In the optimization mode, the program tries to find an optimal testing framework.
In the evaluation mode, the program is given a testing framework, test results, and gives the most probable result.
eval
or optim
in eval mode:
in optim mode:
confidence
, entropy
or diagnosed [threshold]
ga
or ga-luby
ga-luby
, good values are values of epochs
that give acceptable results.Eval mode
n t
tpr tnr
p1 p2 ... pn
eval threshold
test1
test2
...
testt
results
Optim mode
n t
tpr tnr
p1 p2 ... pn
optim m metric
method mutation_parameter [luby_basis]
epochs
Please report issues and feedback to louis.abraham@yahoo.fr.