def test_chains(proposal_name, nprocs):
"""Runs the PTSampler ``test_chains`` test using the bounded normal
proposal.
"""
model = PoissonModel()
proposal = _setup_proposal(proposal_name, model.params, model.prior_bounds)
_test_chains(PoissonModel, nprocs, SWAP_INTERVAL, proposals=[proposal])
def test_chains(name, nprocs):
"""Runs the PTSampler ``test_chains`` test using the adaptive proposal.
"""
model = Model()
# we'll just use the adaptive normal for one of the params, to test
# that using mixed proposals works
proposal = _setup_proposal(model, name, params=[list(model.params)[0]])
_test_chains(Model, nprocs, SWAP_INTERVAL, proposals=[proposal])
def test_chains(nprocs, proposal_name):
"""Runs the PTSampler ``test_chains`` test using the adaptive normal
proposal.
"""
model = Model()
# we'll just use the adaptive normal for one of the params, to test
# that using mixed proposals works
proposal = _setup_proposal(model, proposal_name,
params=[list(model.params)[0]])
_test_chains(Model, nprocs, SWAP_INTERVAL, proposals=[proposal],
init_iters=STABILITY_DURATION-2)
def test_chains(proposal_name, nprocs):
"""Runs the PTSampler ``test_chains`` test using the bounded normal
proposal.
"""
model = Model()
# we'll just the bounded normal proposal for one of the parameters,
# to test that using mixed proposals works
param = list(model.params)[0]
proposal = _setup_proposal(proposal_name, [param],
{param: model.prior_bounds[param]})
_test_chains(Model, nprocs, SWAP_INTERVAL, proposals=[proposal])
def test_chains(proposal_name, nprocs):
"""Runs the PTSampler ``test_chains`` test using the angular proposal.
"""
model = AngularModel()
proposal = _setup_proposal(proposal_name, model.params)
_test_chains(AngularModel, nprocs, SWAP_INTERVAL, proposals=[proposal])