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Commit 1a4bbbe2 authored by Martin Reinecke's avatar Martin Reinecke
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cosmetics

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docs/source/ift.rst
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......@@ -262,7 +262,7 @@ We stochastically estimate the KL-divergence and gradients with a set of samples
This KL-divergence for MGVI is implemented in the class MetricGaussianKL within NIFTy5.
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.
The cross-correlation of field and power spectrum is taken care of in this process.
Posterior samples can be obtained to study this cross-correlation.
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