Commit 0b1654ec authored by Martin Reinecke's avatar Martin Reinecke

Merge branch 'doc_fix' into 'NIFTy_6'

Fix Sphinx warnings

See merge request !573
parents afc3e2df 19c89972
Pipeline #87487 passed with stages
in 31 minutes and 23 seconds
......@@ -224,7 +224,7 @@ Thus, only the gradient of the KL is needed with respect to this, which can be e
We stochastically estimate the KL-divergence and gradients with a set of samples drawn from the approximate posterior distribution.
The particular structure of the covariance allows us to draw independent samples solving a certain system of equations.
This KL-divergence for MGVI is implemented in the class :class:`~minimization.metric_gaussian_kl.MetricGaussianKL` within NIFTy6.
This KL-divergence for MGVI is implemented in the class :class:`~nifty6.minimization.metric_gaussian_kl.MetricGaussianKL` within NIFTy6.
The demo `getting_started_3.py` for example not only infers a field this way, but also the power spectrum of the process that has generated the field.
......
......@@ -30,8 +30,8 @@ def NormalTransform(mean, sigma, key, N_copies=0):
"""Opchain that transforms standard normally distributed values to
normally distributed values with given mean an standard deviation.
Parameters:
-----------
Parameters
----------
mean : float
Mean of the field
sigma : float
......@@ -60,8 +60,8 @@ def LognormalTransform(mean, sigma, key, N_copies):
"""Opchain that transforms standard normally distributed values to
log-normally distributed values with given mean an standard deviation.
Parameters:
-----------
Parameters
----------
mean : float
Mean of the field
sigma : float
......
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