Welcome to RepKit’s documentation!#
Supported Metrics:#
Metric |
Map |
---|---|
braycurtis |
modelwise_classical, samplewise_classical |
canberra |
modelwise_classical, samplewise_classical |
chebyshev |
modelwise_classical, samplewise_classical |
cityblock |
modelwise_classical, samplewise_classical |
correlation |
modelwise_classical, samplewise_classical |
cosine |
modelwise_classical, samplewise_classical |
dice |
modelwise_classical, samplewise_classical |
euclidean |
modelwise_classical, samplewise_classical |
hamming |
modelwise_classical, samplewise_classical |
jaccard |
modelwise_classical, samplewise_classical |
jensenshannon |
modelwise_classical, samplewise_classical |
kulczynski1 |
modelwise_classical, samplewise_classical |
mahalanobis |
modelwise_classical, samplewise_classical |
matching |
modelwise_classical, samplewise_classical |
minkowski |
modelwise_classical, samplewise_classical |
rogerstanimoto |
modelwise_classical, samplewise_classical |
russellrao |
modelwise_classical, samplewise_classical |
seuclidean |
modelwise_classical, samplewise_classical |
sokalmichener |
modelwise_classical, samplewise_classical |
sokalsneath |
modelwise_classical, samplewise_classical |
sqeuclidean |
modelwise_classical, samplewise_classical |
yule |
modelwise_classical, samplewise_classical |
esm |
netrep_esm |
gsm |
netrep_gsm |
Note:
The modelwise_classical metrics are the same as the samplewise_classical metrics but averaged over samples.
The
netrep_esm
andnetrep_gsm
metrics are only available for modelwise measurements.