Python Benchmarking Framework for the Clustering Algorithms Evaluation: networks generation and shuffling; failover execution and resource consumption tracing (peak RAM RSS, CPU, ...); evaluation of Modularity, conductance, NMI and F1 Score for overlapping communities
Other
19
stars
4
forks
source link
NMI_s results for multiple sources are duplicated #12
This issue exists when the benchmark is executed on multiple (2 in the example below) directories and exists for NMI_s only (not for NMI or mod).
Example of oslom2 50K10.nmi_s, but it is the same for all algorithms:
This issue exists when the benchmark is executed on multiple (2 in the example below) directories and exists for NMI_s only (not for NMI or mod). Example of oslom2 50K10.nmi_s, but it is the same for all algorithms:
Either backup on reexecution should be fixed, or paths traversal for multiple source dirs.