From 83d9e58fe9872be5dbfed54f84efe61aa5f9d6a6 Mon Sep 17 00:00:00 2001
From: Philipp Arras <parras@mpa-garching.mpg.de>
Date: Tue, 15 Oct 2019 18:07:34 +0200
Subject: [PATCH] Use traditional settings for getting started. No
preconditioning here
Although it is working
---
demos/getting_started_3.py | 5 ++---
1 file changed, 2 insertions(+), 3 deletions(-)
diff --git a/demos/getting_started_3.py b/demos/getting_started_3.py
index 3111523fd..00875a34c 100644
--- a/demos/getting_started_3.py
+++ b/demos/getting_started_3.py
@@ -103,8 +103,7 @@ if __name__ == '__main__':
data = signal_response(mock_position) + N.draw_sample()
# Minimization parameters
- ic_sampling = ift.AbsDeltaEnergyController(0.5, convergence_level=5,
- iteration_limit=100)
+ ic_sampling = ift.GradientNormController(iteration_limit=100)
ic_newton = ift.GradInfNormController(
name='Newton', tol=1e-7, iteration_limit=35)
minimizer = ift.NewtonCG(ic_newton)
@@ -129,7 +128,7 @@ if __name__ == '__main__':
# Draw new samples to approximate the KL five times
for i in range(5):
# Draw new samples and minimize KL
- KL = ift.MetricGaussianKL(mean, H, N_samples, napprox=20)
+ KL = ift.MetricGaussianKL(mean, H, N_samples)
KL, convergence = minimizer(KL)
mean = KL.position
--
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