def setLauncher(**kwargs):
sims= kwargs.get('sims')
metric = kwargs.get('metric')
name = kwargs.get('name')
d_in = []
percs = logspace(.1,1.5,8)
for p in percs:
d_in.append(dict(similarities = sims,
self_similarity = ss.scoreatpercentile(sims, p),
metric = metric
))
launcher = bcl.launcher(d_in, host = host, name = name)
return launcher
def launchClusters(ncluster = 2000):
dicts = list(it.chain(*[getClusteringInputs(ncluster = ncluster, host = 'tin',exemp_time = t)
for t in [0,1,2,3,4,5,'all']]))
launcher = bcl.launcher(dicts, host = 'tin', name = 'apclustering_n{0}'.format(ncluster))
launcher.launch()
return launcher
