def test_energyplot():
with asmod.build_model():
trace = sample()
energyplot(trace)
energyplot(trace, shade=0.5, alpha=0)
energyplot(trace, kind='hist')
def test_energyplot():
with asmod.build_model():
trace = sample(cores=1)
energyplot(trace)
energyplot(trace, shade=0.5, alpha=0)
energyplot(trace, kind='hist')
def test_plots_categorical():
# Test single trace
start, model, _ = simple_categorical()
with asmod.build_model() as model:
start = model.test_point
h = find_hessian(start)
step = Metropolis(model.vars, h)
trace = sample(3000, tune=0, step=step, start=start)
traceplot(trace)
def test_plots_categorical():
# Test single trace
start, model, _ = simple_categorical()
with asmod.build_model() as model:
start = model.test_point
h = find_hessian(start)
step = Metropolis(model.vars, h)
trace = sample(3000, tune=0, step=step, start=start, chains=1)
traceplot(trace)
def test_plots():
# Test single trace
with asmod.build_model() as model:
start = model.test_point
h = find_hessian(start)
step = Metropolis(model.vars, h)
trace = sample(3000, tune=0, step=step, start=start)
traceplot(trace)
forestplot(trace)
plot_posterior(trace)
autocorrplot(trace)
def test_plots():
# Test single trace
with asmod.build_model() as model:
start = model.test_point
h = find_hessian(start)
step = Metropolis(model.vars, h)
trace = sample(3000, step, start)
traceplot(trace)
forestplot(trace)
plot_posterior(trace)
autocorrplot(trace)
