From 83db295e36db019172cdcf3a490c500a880c862f Mon Sep 17 00:00:00 2001 From: ROUVREAU Vincent Date: Wed, 3 Jun 2020 07:36:27 +0200 Subject: doc review: use :class: to link to the ref manual, rollback link to the user manual --- src/python/doc/rips_complex_user.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'src') diff --git a/src/python/doc/rips_complex_user.rst b/src/python/doc/rips_complex_user.rst index 868ef0e7..6048cc4e 100644 --- a/src/python/doc/rips_complex_user.rst +++ b/src/python/doc/rips_complex_user.rst @@ -378,7 +378,7 @@ Example from a point cloud combined with DistanceToMeasure ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Combining with DistanceToMeasure, one can compute the DTM-filtration of a point set, as in `this notebook `_. -Remark that `DTM Rips Complex (user manual) `_ class provides exactly this function. +Remark that `DTMRipsComplex `_ class provides exactly this function. .. testcode:: @@ -403,7 +403,7 @@ The output is: DTM Rips Complex ---------------- -`DTMRipsComplex (reference manual) `_ builds a simplicial complex from a point set or a full distance matrix (in the form of ndarray), as described in the above example. +:class:`~gudhi.dtm_rips_complex.DTMRipsComplex` builds a simplicial complex from a point set or a full distance matrix (in the form of ndarray), as described in the above example. This class constructs a weighted Rips complex giving larger weights to outliers, which reduces their impact on the persistence diagram. See `this notebook `_ for some experiments. .. testcode:: -- cgit v1.2.3