def join_then_classic(data, param):
nb_iter = param["nb_iter"]
for i in range(1):
data, param = ests.optimize_SH(data, param)
data, param = esth.optimize_H_old(data, param)
data, param = esta.optimize_A(data, param)
for i in range(nb_iter - 1):
data, param = ests.optimize_S(data, param)
data, param = esta.optimize_A(data, param)
data, param = esth.optimize_H_old(data, param)
return data, param
def classic_opti_sha(data, param):
nb_iter = param["nb_iter"]
for i in range(nb_iter):
data, param = ests.optimize_S(data, param)
data, param = esth.optimize_H(data, param)
data, param = esta.optimize_A(data, param)
return data, param
def join_opti(data, param):
nb_iter = param["nb_iter"]
for i in range(nb_iter):
data, param = ests.optimize_SH(data, param)
data, param = esth.optimize_H_old(data, param)
data, param = esta.optimize_A(data, param)
logger.debug("iter {}, cost : {}".format(
i,
metrics.cost_error_l2(data["G"], data["H"], data["S"], data["A"],
param["penalty"])))
return data, param