Liking cljdoc? Tell your friends :D

josh.meanings.initializations.utils


add-default-chain-lengthclj

(add-default-chain-length conf)

For monte carlo methods we need a chain length to use when doing sampling. Although callers can pass in a chain length there are some dangers when doing so - for example if the chain length is low it won't necessarily approximate k means plus plus. Meanwhile if the chian length is too low then there will be no point in doing sampling at all - we could just use k means plus plus rather than approximating it.

This function checks to see if a chain length is set and if one is then it does nothing, but it nothing is set it uses the formulas provided in the k means plus plus apporximation papers to ddetermine a reasonable chain length.

For monte carlo methods we need a chain length to use when 
doing sampling. Although callers can pass in a chain length 
there are some dangers when doing so - for example if the 
chain length is low it won't necessarily approximate k means 
plus plus. Meanwhile if the chian length is too low then 
there will be no point in doing sampling at all - we could 
just use k means plus plus rather than approximating it.

This function checks to see if a chain length is set and if 
one is then it does nothing, but it nothing is set it uses 
the formulas provided in the k means plus plus apporximation 
papers to ddetermine a reasonable chain length.
sourceraw docstring

centroids->datasetclj

(centroids->dataset conf results)
source

chain-length-warningsclj

(chain-length-warnings config)

Analyzes the chain length and emits warnings if necessary.

Analyzes the chain length and emits warnings if necessary.
sourceraw docstring

shortest-distance-*clj

(shortest-distance-* configuration)

Denotes the shortest distance from a data point to a center. Which distance to use is decided by the k means configuration.

Denotes the shortest distance from a data point to a 
center. Which distance to use is decided by the k means 
configuration.
sourceraw docstring

shortest-distance-squared-*clj

(shortest-distance-squared-* configuration centroids)

Denotes the shortest distance from a data point to a center squared. Useful for computing a D^2 sampling distribution.

Denotes the shortest distance from a data point to a 
center squared. Useful for computing a D^2 sampling 
distribution.
sourceraw docstring

should-update-chain-length?clj

(should-update-chain-length? conf)
source

t-configclj

source

t-pointsclj

source

uniform-sampleclj

(uniform-sample ds-seq n & options)
source

update-chain-lengthclj

(update-chain-length conf)
source

weighted-sampleclj

(weighted-sample ds-seq weight-fn n & options)
source

cljdoc is a website building & hosting documentation for Clojure/Script libraries

× close