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authorGard Spreemann <gspr@nonempty.org>2021-02-28 23:08:17 +0100
committerGard Spreemann <gspr@nonempty.org>2021-02-28 23:08:17 +0100
commit79f002efaa1584e89f85928e464dd73ea64593b6 (patch)
tree92030ca2625e115e18d3b4f97affd26b0a499bfd
parent5326407d7a787a767dc833a402a71ddf3fda1ed4 (diff)
Elaborate doc string
-rw-r--r--src/python/gudhi/representations/vector_methods.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/gudhi/representations/vector_methods.py b/src/python/gudhi/representations/vector_methods.py
index a82c0d3c..5133a64c 100644
--- a/src/python/gudhi/representations/vector_methods.py
+++ b/src/python/gudhi/representations/vector_methods.py
@@ -355,7 +355,7 @@ class BettiCurve(BaseEstimator, TransformerMixin):
class BettiCurve2(BaseEstimator, TransformerMixin):
"""
- A more flexible replacement for the BettiCurve class.
+ A more flexible replacement for the BettiCurve class. There are two modes of operation: with a predefined grid, and without. With a predefined grid, the class computes the Betti numbers at those grid points. Without a predefined grid, it can be fit to a list of persistence diagrams and produce a grid that consists of (at least) the filtration values at which at least one of those persistence diagrams chance Betti numbers, and then compute the Betti numbers at those grid points. In the latter mode, the exact Betti curve is computed for the entire real line.
Parameters
----------