Commit 0c37585c authored by Philipp Arras's avatar Philipp Arras
Browse files

Tweak wording

parent 374df51f
......@@ -92,10 +92,7 @@ def density_estimator(
if __name__ == "__main__":
# Preparing the filename string for store results
filename = "getting_started_density_{}.png"
# Set the random seed
ift.random.push_sseq_from_seed(42)
# Set up signal domain
......@@ -109,6 +106,7 @@ if __name__ == "__main__":
correlated_field = ops["correlated_field"]
data_space = signal.target
# Generate mock signal and data
rng = ift.random.current_rng()
mock_position = ift.from_random(signal.domain, 'normal')
......@@ -116,7 +114,7 @@ if __name__ == "__main__":
data_space, rng.poisson(signal(mock_position).val)
)
# Rejoining domains for ift plotting routine
# Rejoin domains for plotting
plotting_domain = ift.DomainTuple.make(ift.RGSpace((npix1, npix2)))
plotting_domain_expanded = ift.DomainTuple.make(
ift.RGSpace((2 * npix1, 2 * npix2))
......@@ -150,14 +148,14 @@ if __name__ == "__main__":
ic_newton.enable_logging()
minimizer = ift.NewtonCG(ic_newton, enable_logging=True)
# number of samples used to estimate the KL
# Number of samples used to estimate the KL
n_samples = 5
# Set up likelihood and information Hamiltonian
likelihood = ift.PoissonianEnergy(data) @ signal
ham = ift.StandardHamiltonian(likelihood, ic_sampling)
# Begin minimization
# Start minimization
initial_mean = ift.MultiField.full(ham.domain, 0.)
mean = initial_mean
......@@ -212,7 +210,6 @@ if __name__ == "__main__":
sc_unsliced.add(ift.exp(correlated_field(sample + kl.position)))
# Plotting
filename_res = filename.format("results")
plot = ift.Plot()
plot.add(
ift.Field.from_raw(plotting_domain, sc.mean.val),
......@@ -234,6 +231,6 @@ if __name__ == "__main__":
),
title="Posterior Unsliced Standard Deviation"
)
filename_res = filename.format("results")
plot.output(ny=2, nx=2, xsize=15, ysize=15, name=filename_res)
print("Saved results as '{}'.".format(filename_res))
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