spynnaker8.utilities.random_stats package¶
Submodules¶
spynnaker8.utilities.random_stats.random_stats_binomial_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_binomial_impl.
RandomStatsBinomialImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for binomial distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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spynnaker8.utilities.random_stats.random_stats_exponential_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_exponential_impl.
RandomStatsExponentialImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for exponential distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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spynnaker8.utilities.random_stats.random_stats_gamma_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_gamma_impl.
RandomStatsGammaImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for gamma distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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spynnaker8.utilities.random_stats.random_stats_log_normal_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_log_normal_impl.
RandomStatsLogNormalImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for log normal distributions
spynnaker8.utilities.random_stats.random_stats_normal_clipped_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_normal_clipped_impl.
RandomStatsNormalClippedImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for normal distributions that are clipped to a boundary (redrawn)
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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spynnaker8.utilities.random_stats.random_stats_normal_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_normal_impl.
RandomStatsNormalImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for normal distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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spynnaker8.utilities.random_stats.random_stats_poisson_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_poisson_impl.
RandomStatsPoissonImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for poisson distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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spynnaker8.utilities.random_stats.random_stats_randint_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_randint_impl.
RandomStatsRandIntImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for uniform distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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spynnaker8.utilities.random_stats.random_stats_scipy_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_scipy_impl.
RandomStatsScipyImpl
(distribution_type)[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
A Random Statistics object that uses scipy directly
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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spynnaker8.utilities.random_stats.random_stats_uniform_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_uniform_impl.
RandomStatsUniformImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for uniform distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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spynnaker8.utilities.random_stats.random_stats_vonmises_impl module¶
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class
spynnaker8.utilities.random_stats.random_stats_vonmises_impl.
RandomStatsVonmisesImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for vonmises distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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Module contents¶
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class
spynnaker8.utilities.random_stats.
RandomStatsBinomialImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for binomial distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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class
spynnaker8.utilities.random_stats.
RandomStatsExponentialImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for exponential distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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class
spynnaker8.utilities.random_stats.
RandomStatsGammaImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for gamma distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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class
spynnaker8.utilities.random_stats.
RandomStatsLogNormalImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for log normal distributions
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class
spynnaker8.utilities.random_stats.
RandomStatsNormalClippedImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for normal distributions that are clipped to a boundary (redrawn)
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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class
spynnaker8.utilities.random_stats.
RandomStatsNormalImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for normal distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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class
spynnaker8.utilities.random_stats.
RandomStatsPoissonImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for poisson distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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class
spynnaker8.utilities.random_stats.
RandomStatsRandIntImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for uniform distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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class
spynnaker8.utilities.random_stats.
RandomStatsScipyImpl
(distribution_type)[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
A Random Statistics object that uses scipy directly
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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class
spynnaker8.utilities.random_stats.
RandomStatsUniformImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for uniform distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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class
spynnaker8.utilities.random_stats.
RandomStatsVonmisesImpl
[source]¶ Bases:
spynnaker.pyNN.utilities.random_stats.abstract_random_stats.AbstractRandomStats
An implementation of AbstractRandomStats for vonmises distributions
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high
(dist)[source]¶ Return the high cutoff value of the distribution, or None if the distribution is unbounded
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