Commit 19c89972 authored by Philipp Arras's avatar Philipp Arras
Browse files

Fix Sphinx warnings

parent afc3e2df
Pipeline #84673 passed with stages
in 12 minutes and 16 seconds
...@@ -224,7 +224,7 @@ Thus, only the gradient of the KL is needed with respect to this, which can be e ...@@ -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. 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. 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. 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): ...@@ -30,8 +30,8 @@ def NormalTransform(mean, sigma, key, N_copies=0):
"""Opchain that transforms standard normally distributed values to """Opchain that transforms standard normally distributed values to
normally distributed values with given mean an standard deviation. normally distributed values with given mean an standard deviation.
Parameters: Parameters
----------- ----------
mean : float mean : float
Mean of the field Mean of the field
sigma : float sigma : float
...@@ -60,8 +60,8 @@ def LognormalTransform(mean, sigma, key, N_copies): ...@@ -60,8 +60,8 @@ def LognormalTransform(mean, sigma, key, N_copies):
"""Opchain that transforms standard normally distributed values to """Opchain that transforms standard normally distributed values to
log-normally distributed values with given mean an standard deviation. log-normally distributed values with given mean an standard deviation.
Parameters: Parameters
----------- ----------
mean : float mean : float
Mean of the field Mean of the field
sigma : float sigma : float
......
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