anglican.runtime — anglican 1.0.0

Runtime library

->bernoulli-distribution clj

(->bernoulli-distribution p dist)

Positional factory function for class anglican.runtime.bernoulli-distribution.

->beta-distribution clj

(->beta-distribution alpha beta dist15218)

Positional factory function for class anglican.runtime.beta-distribution.

->binomial-distribution clj

(->binomial-distribution n p dist15251)

Positional factory function for class anglican.runtime.binomial-distribution.

->categorical-crp-distribution clj

(->categorical-crp-distribution counts alpha dist)

Positional factory function for class anglican.runtime.categorical-crp-distribution.

->categorical-distribution clj

(->categorical-distribution categories values index dist)

Positional factory function for class anglican.runtime.categorical-distribution.

->categorical-dp-distribution clj

(->categorical-dp-distribution counts H alpha dist)

Positional factory function for class anglican.runtime.categorical-dp-distribution.

->chi-squared-distribution clj

(->chi-squared-distribution nu gamma-dist)

Positional factory function for class anglican.runtime.chi-squared-distribution.

->dirichlet-discrete-process clj

(->dirichlet-discrete-process counts)

Positional factory function for class anglican.runtime.dirichlet-discrete-process.

->dirichlet-distribution clj

(->dirichlet-distribution alpha Z)

Positional factory function for class anglican.runtime.dirichlet-distribution.

->discrete-distribution clj

(->discrete-distribution weights total-weight dist)

Positional factory function for class anglican.runtime.discrete-distribution.

->exponential-distribution clj

(->exponential-distribution rate dist15404)

Positional factory function for class anglican.runtime.exponential-distribution.

->flip-distribution clj

(->flip-distribution p dist)

Positional factory function for class anglican.runtime.flip-distribution.

->gamma-distribution clj

(->gamma-distribution shape rate dist15464)

Positional factory function for class anglican.runtime.gamma-distribution.

->multivariate-t-distribution clj

(->multivariate-t-distribution nu mu sigma dim mvn-dist chi-sq-dist)

Positional factory function for class anglican.runtime.multivariate-t-distribution.

->mvn-distribution clj

(->mvn-distribution mean cov k Lcov unit-normal Z iLcov transform-sample)

Positional factory function for class anglican.runtime.mvn-distribution.

->mvn-niw-process clj

(->mvn-niw-process mu kappa nu psi n sum-x sum-x-sq)

Positional factory function for class anglican.runtime.mvn-niw-process.

->normal-distribution clj

(->normal-distribution mean sd dist15526)

Positional factory function for class anglican.runtime.normal-distribution.

->poisson-distribution clj

(->poisson-distribution lambda dist15559)

Positional factory function for class anglican.runtime.poisson-distribution.

->uniform-continuous-distribution clj

(->uniform-continuous-distribution min max dist15589)

Positional factory function for class anglican.runtime.uniform-continuous-distribution.

->uniform-discrete-distribution clj

(->uniform-discrete-distribution min max dist15622)

Positional factory function for class anglican.runtime.uniform-discrete-distribution.

->wishart-distribution clj

(->wishart-distribution n
                        V
                        p
                        L
                        unit-normal
                        chi-squared-dists
                        Z
                        transform-sample)

Positional factory function for class anglican.runtime.wishart-distribution.

abs clj

(abs x)

acos clj

(acos x)

asin clj

(asin x)

atan clj

(atan x)

bernoulli clj

(bernoulli p)

Bernoulli distribution

beta clj

(beta alpha beta)

beta distribution (imported from apache)

binomial clj

(binomial n p)

binomial distribution (imported from apache)

categorical clj

(categorical categories)

categorical distribution, convenience wrapper around discrete distribution; accepts a list of categories --- pairs [value weight]

categorical-crp clj

(categorical-crp counts alpha)

categorical distribution extended by a random sample, for use with CRP

categorical-dp clj

(categorical-dp counts H alpha)

categorical distribution extended by a random sample, for use with DP

cbrt clj

(cbrt x)

ceil clj

(ceil x)

chi-squared clj

(chi-squared nu)

Chi-squared distribution. Equivalent to a gamma distribution with shape nu/2 and rate 1/2.

cos clj

(cos x)

cosh clj

(cosh x)

cov clj

(cov k xs ys)

computes covariance matrix of xs and ys under k

covariance clj

(covariance x)

(covariance x dimension)

covariance of array slices along specified dimension

CRP clj

(CRP alpha)

(CRP alpha counts)

Chinese Restaurant process

CRP-process clj

defdist clj macro

(defdist name & args)

defines distribution

defproc clj macro

(defproc name & args)

defines random process

dirichlet clj

(dirichlet alpha)

Dirichlet distribution

dirichlet-discrete clj

(dirichlet-discrete counts)

Dirichlet-discrete process.

discrete clj

(discrete weights)

discrete distribution, accepts unnormalized weights

distribution clj protocol

random distribution

observe* clj

(observe* this value)

return the probability [density] of the value

sample* clj

(sample* this)

draws a sample from the distribution

DP clj

(DP alpha H)

(DP alpha H counts)

Dirichlet process

DP-process clj

erf clj

(erf x)

error function

exp clj

(exp x)

exponential clj

(exponential rate)

exponential distribution (imported from apache)

finite? clj

(finite? x)

is the numeric value x finite? returns false for Infinity, -Infinity, and NaN

flip clj

(flip p)

flip (Bernoulli boolean) distribution

floor clj

(floor x)

gamma clj

(gamma shape rate)

gamma distribution (imported from apache)

gen-matrix clj

(gen-matrix f rows columns)

creates a matrix, elements of which are initialised using the filler procedure f

get-tag clj

(get-tag dist)

GP clj

(GP m$ k$)

(GP m$ k$ m k points)

Gaussian process

GP-process clj

kurtosis clj

(kurtosis a)

(kurtosis a dimension)

standardized skew of array slices along specified dimension

l2-norm clj

(l2-norm a b)

calculates L2 norm (sum of squared differences) between a and b

log clj

(log x)

log-gamma-fn clj

(log-gamma-fn x)

log Gamma function

log-mv-gamma-fn clj

(log-mv-gamma-fn p a)

multivariate Gamma function

log-sum-exp clj

(log-sum-exp log-x log-y)

computes (log (+ (exp x) (exp y))) safely

map->bernoulli-distribution clj

(map->bernoulli-distribution m__7585__auto__)

Factory function for class anglican.runtime.bernoulli-distribution, taking a map of keywords to field values.

map->beta-distribution clj

(map->beta-distribution m__7585__auto__)

Factory function for class anglican.runtime.beta-distribution, taking a map of keywords to field values.

map->binomial-distribution clj

(map->binomial-distribution m__7585__auto__)

Factory function for class anglican.runtime.binomial-distribution, taking a map of keywords to field values.

map->categorical-crp-distribution clj

(map->categorical-crp-distribution m__7585__auto__)

Factory function for class anglican.runtime.categorical-crp-distribution, taking a map of keywords to field values.

map->categorical-distribution clj

(map->categorical-distribution m__7585__auto__)

Factory function for class anglican.runtime.categorical-distribution, taking a map of keywords to field values.

map->categorical-dp-distribution clj

(map->categorical-dp-distribution m__7585__auto__)

Factory function for class anglican.runtime.categorical-dp-distribution, taking a map of keywords to field values.

map->chi-squared-distribution clj

(map->chi-squared-distribution m__7585__auto__)

Factory function for class anglican.runtime.chi-squared-distribution, taking a map of keywords to field values.

map->dirichlet-discrete-process clj

(map->dirichlet-discrete-process m__7585__auto__)

Factory function for class anglican.runtime.dirichlet-discrete-process, taking a map of keywords to field values.

map->dirichlet-distribution clj

(map->dirichlet-distribution m__7585__auto__)

Factory function for class anglican.runtime.dirichlet-distribution, taking a map of keywords to field values.

map->discrete-distribution clj

(map->discrete-distribution m__7585__auto__)

Factory function for class anglican.runtime.discrete-distribution, taking a map of keywords to field values.

map->exponential-distribution clj

(map->exponential-distribution m__7585__auto__)

Factory function for class anglican.runtime.exponential-distribution, taking a map of keywords to field values.

map->flip-distribution clj

(map->flip-distribution m__7585__auto__)

Factory function for class anglican.runtime.flip-distribution, taking a map of keywords to field values.

map->gamma-distribution clj

(map->gamma-distribution m__7585__auto__)

Factory function for class anglican.runtime.gamma-distribution, taking a map of keywords to field values.

map->multivariate-t-distribution clj

(map->multivariate-t-distribution m__7585__auto__)

Factory function for class anglican.runtime.multivariate-t-distribution, taking a map of keywords to field values.

map->mvn-distribution clj

(map->mvn-distribution m__7585__auto__)

Factory function for class anglican.runtime.mvn-distribution, taking a map of keywords to field values.

map->mvn-niw-process clj

(map->mvn-niw-process m__7585__auto__)

Factory function for class anglican.runtime.mvn-niw-process, taking a map of keywords to field values.

map->normal-distribution clj

(map->normal-distribution m__7585__auto__)

Factory function for class anglican.runtime.normal-distribution, taking a map of keywords to field values.

map->poisson-distribution clj

(map->poisson-distribution m__7585__auto__)

Factory function for class anglican.runtime.poisson-distribution, taking a map of keywords to field values.

map->uniform-continuous-distribution clj

(map->uniform-continuous-distribution m__7585__auto__)

Factory function for class anglican.runtime.uniform-continuous-distribution, taking a map of keywords to field values.

map->uniform-discrete-distribution clj

(map->uniform-discrete-distribution m__7585__auto__)

Factory function for class anglican.runtime.uniform-discrete-distribution, taking a map of keywords to field values.

map->wishart-distribution clj

(map->wishart-distribution m__7585__auto__)

Factory function for class anglican.runtime.wishart-distribution, taking a map of keywords to field values.

mean clj

(mean a)

(mean a dimension)

mean of array slices along specified dimension

multivariate-distribution clj protocol

additional methods for multivariate distributions

transform-sample clj

(transform-sample this samples)

accepts a vector of random values and generates a sample from the multivariate distribution

multivariate-t clj

(multivariate-t nu mu sigma)

Multivariate T-distribution.

mvn clj

(mvn mean cov)

multivariate normal

mvn-niw clj

(mvn-niw mu kappa nu psi)

(mvn-niw mu kappa nu psi n sum-x sum-x-sq)

Multivariate normal with unknown mean and covariance matrix. Parameterized using a normal inverse-Wishart.

normal clj

(normal mean sd)

normal distribution (imported from apache)

poisson clj

(poisson lambda)

poisson distribution (imported from apache)

pow clj

(pow x y)

power clj

(power x n)

computes x^n for integer powers n by multiplication. vectorizes and preserves input types, at the expense of being slower than pow.

random-process clj protocol

random process

absorb clj

(absorb this sample)

absorbs the sample and returns a new process

produce clj

(produce this)

produces a static random source

rint clj

(rint x)

RNG clj

random number generator; used by Apache Commons Math distribution objects

round clj

(round x)

signum clj

(signum x)

sin clj

(sin x)

sinh clj

(sinh x)

skew clj

(skew a)

(skew a dimension)

standardized skew of array slices along specified dimension

sqrt clj

(sqrt x)

std clj

(std a)

(std a dimension)

standard deviation (sqrt of variance) of array slices along specified dimension

sum clj

(sum a)

(sum a dimension)

sums array slices along specified dimension

tag clj

(tag id dist)

tan clj

(tan x)

tanh clj

(tanh x)

uniform-continuous clj

(uniform-continuous min max)

uniform-continuous distribution (imported from apache)

uniform-discrete clj

(uniform-discrete min max)

uniform-discrete distribution (imported from apache)

variance clj

(variance a)

(variance a dimension)

variance of array slices along specified dimension

wishart clj

(wishart n V)

Wishart distribution