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 and netrep_gsm metrics are only available for modelwise measurements.

Supported Decomposers:#

Decomposer

Map

MDS

MDS

PCA

PCA

Indices and tables#