spynnaker.pyNN.utilities.random_stats package

Module contents

class spynnaker.pyNN.utilities.random_stats.AbstractRandomStats

Bases: object

Statistics about PyNN ~spynnaker.pyNN.RandomDistribution objects.

abstract cdf(dist, v)

Return the cumulative distribution function value for the value v.

abstract high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

abstract low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

abstract mean(dist)

Return the mean of the distribution.

abstract ppf(dist, p)

Return the percent point function value for the probability p.

abstract std(dist)

Return the standard deviation of the distribution.

abstract var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsBinomialImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for binomial distributions.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsExponentialClippedImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for clipped exponential distributions.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsExponentialImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for exponential distributions.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsGammaImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for gamma distributions.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsLogNormalImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for log normal distributions.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsNormalClippedImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for normal distributions that are clipped to a boundary (redrawn).

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsNormalImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for normal distributions.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsPoissonImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for Poisson distributions.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsRandIntImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for uniform distributions.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsScipyImpl(distribution_type)

Bases: AbstractRandomStats

A Random Statistics object that uses scipy directly.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsUniformImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for uniform distributions.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.

class spynnaker.pyNN.utilities.random_stats.RandomStatsVonmisesImpl

Bases: AbstractRandomStats

An implementation of AbstractRandomStats for von Mises distributions.

cdf(dist, v)

Return the cumulative distribution function value for the value v.

high(distribution)

Return the high cut-off value of the distribution, or None if the distribution is unbounded.

low(distribution)

Return the low cut-off value of the distribution, or None if the distribution is unbounded.

mean(dist)

Return the mean of the distribution.

ppf(dist, p)

Return the percent point function value for the probability p.

std(dist)

Return the standard deviation of the distribution.

var(dist)

Return the variance of the distribution.