Vincent Rouvreau

> Hmm, true. It does appear in the doc https://gudhi.inria.fr/doc/latest/class_gudhi_1_1cubical__complex_1_1counter.html but I think you have to look quite hard to find it. It looks like it is used a bit...

> Maybe I'm missing the point but wouldn't those people also not have the problem that `../../licensing/` etc. points to nowhere and with this it would point to a more...

> In order to generate the documentation, I am proposing to you a quick 'fix'. In `src/python/doc/installation.rst`, in the Tesorflow section (~ l.398), add: > > ``` > :doc:`RipsNet `...

> **a bit off-topic** for this issue: > > Based on this issue I was interested in building the GUDHI documentation and see what kind of problems there are, on...

Tested with conda package doxygen 1.9.5 and I can confirm it is fixed by https://github.com/doxygen/doxygen/pull/9345 . As #699 advises to use doxygen 1.9.5, I close the issue.

If I have a look to https://github.com/GUDHI/gudhi-devel/blob/7e05e915adc1be285e04eb00d3ab7ba1b797f38d/src/Subsampling/include/gudhi/choose_n_farthest_points.h#L65-L74 `DistanceOutputIterator` is an output iterator, which means `DistanceOutputIterator::value_type` is not known (cf. [std::back_insert_iterator](https://en.cppreference.com/w/cpp/iterator/back_insert_iterator)). `Point_range` is a range over CGAL points (Epick_d or Epeck_d),...

A first attempt, that is not satisfying enough in [this branch](https://github.com/VincentRouvreau/gudhi-devel/tree/epeck_choose_n_farthest_points)

I installed reviewnb only for GUDHI/TDA-tutorial. Now, if you want to review https://github.com/GUDHI/TDA-tutorial/pull/25 for instance, you can go to https://app.reviewnb.com/GUDHI/TDA-tutorial/pull/25/ and in changes, you select an `*.ipynb` file and you...

@dgm2 Why not using the [cubical complex](https://gudhi.inria.fr/python/latest/cubical_complex_user.html) ? ```python from sklearn.datasets import fetch_openml import matplotlib.pyplot as plt import gudhi as gd X, y = fetch_openml("mnist_784", version=1, return_X_y=True, as_frame=False) # X[17]...

:thinking: strange to me your second point... I updated 2-3 things to your code, but yours was (almost) working: ```python import itertools import numpy as np from torchvision import datasets...