def randomGMnew(ntests, ns, k, folder, useTrans):
doTests("randomGMLarge15",
ntests=ntests,
ns=ns,
k=k,
folderName=folder,
useTransformation=useTrans)
def runLargeNetworkTest_uniform(ntests, ns, k, folder, useTrans):
doTests("largeUG_u",
ntests=ntests,
ns=ns,
k=k,
folderName=folder,
useTransformation=useTrans)
def randomGM(ntests, ns, k, folder, useTrans):
doTests("randomGMSmall15",
ntests=ntests,
ns=ns,
k=k,
folderName=folder,
useTransformation=useTrans)
def runLargeNetworkTest_Gaussian(ntests, ns, k, folder, useTrans):
doTests("largeUG_g",
ntests=ntests,
ns=ns,
k=k,
folderName=folder,
useTransformation=useTrans)
def small_networks():
linear = [True,False]
noisetypes = ["gaussian","t","uniform"]
testnames = product(linear,noisetypes)
for test_name in testnames:
doTests(test_name,**args)
def randomUGnonPara(ntests, ns, k, folder, useTrans):
doTests("randomUGnonPara",
ntests=ntests,
ns=ns,
k=k,
folderName=folder,
useTransformation=useTrans)
doTests("randomUGnonParaLarge",
ntests=ntests,
ns=ns,
k=k,
folderName=folder,
useTransformation=useTrans)
def runSmallNetWorkTests(ntests, ns, k, folder, useTrans):
linear = [True, False]
noisetypes = ["gaussian", "t", "uniform"]
testnames = product(linear, noisetypes)
for testname in testnames:
doTests(testname,
ntests=ntests,
ns=ns,
k=k,
folderName=folder,
useTransformation=useTrans)
def large_random_networks_2():
doTests("randomUGnonParaLarge",**args)
#if __name__ == "__main__":
#
# # small networks
# linear = [True,False]
# noisetypes = ["gaussian","t","uniform"]
# testnames = product(linear,noisetypes)
#
# for test_name in testnames:
# doTests(test_name,**args)
#
#
# # large network with t-noise
# doTests("largeUG",**args)
def large_network():
doTests("largeUG",**args)
def small_random_networks():
doTests("randomUGnonPara", **args)