Comments (3)
Ah, thanks for noting! I hadn't yet seen this myself. I'll take a closer look.
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The latest documentation now builds correctly. The "stable" documentation will only be updated when I make a new release, which I in principle can do shortly. I'll leave the issue open.
More as a note to myself: at the moment, the build system at read the docs works directly with the provided igraph
and libleidenalg
packages from conda-forge
. The original problem was that the C dependencies were not found by the documentation build system, because they were in different paths. Installing the dependencies in the correct conda
library didn't seem to work, so for now, we're limited to released versions that are already available from conda-forge
to build the documentation.
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I just made a new release (0.10.1) so the "stable" documentation is now also correct again.
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Related Issues (20)
- AttributeError: module 'igraph' has no attribute 'VertexClustering' with latest igraph HOT 6
- Question on Guarantee of Connected Communities HOT 1
- How to cite leidenalg? HOT 3
- python Segmentation fault: 11 when running the partition function of leidenalg HOT 4
- Memory Error with Clustering with Leiden algorithm matrix - When to use matrix vs igraph method? HOT 8
- find_partition_temporal order of list of membership HOT 1
- Get different result after upgrading to 0.10.1 HOT 2
- Problems installing leidenalg on a remote cluster HOT 4
- Can't Finished running on million nodes and one hundred million edges data HOT 1
- Release supporting python-igraph 0.11
- Assigning new nodes to existing communities HOT 4
- Modularity (Q value) for each cluster HOT 3
- Weighted CPM clustering takes much longer when scale of weights is higher HOT 1
- resolution_profile/quality() for temporal communties HOT 1
- Time Slices to Layers Returns Uniform Account Count Across All Layers, HOT 1
- A bunch of strings are broken HOT 1
- Disconnected communities with ModularityVertexPartition on very large graphs HOT 3
- Dendrogram retrieval? HOT 2
- Error while using Leiden algorithm in Seurat HOT 1
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