tfp.experimental.distributions.inflated_factory

Create Inflated subclasses for specific distributions and positions.

tfp.experimental.distributions.inflated_factory(
    default_name, distribution_class, inflated_loc, **more_kwargs
)

Example usages
SpikeAndSlab = inflated_factory('SpikeAndSlab', tfd.Normal, 0.0) s_and_s = SpikeAndSlab(inflated_loc_probs=0.3, loc=5.0, scale=2.0) ZeroInflatedNegativeBinomial = inflated_factory( 'ZeroInflatedNegativeBinomial', tfd.NegativeBinomial, 0.0) zinb = ZeroInflatedNegativeBinomial(inflated_loc_probs=0.2, probs=0.5, total_count=10.0)

Example usages

SpikeAndSlab = inflated_factory('SpikeAndSlab', tfd.Normal, 0.0) s_and_s = SpikeAndSlab(inflated_loc_probs=0.3, loc=5.0, scale=2.0)

ZeroInflatedNegativeBinomial = inflated_factory( 'ZeroInflatedNegativeBinomial', tfd.NegativeBinomial, 0.0) zinb = ZeroInflatedNegativeBinomial(inflated_loc_probs=0.2, probs=0.5, total_count=10.0)

Args
`default_name`	The name of the subclass, unless the user passes a name argument to init.
`distribution_class`	A tfd.Distribution class.
`inflated_loc`	The scalar position to inflate.
`**more_kwargs`	Additional keyword arguments to pass to the distribution_class.

Returns
A Inflated subclass that is the inflated version of distribution_class.

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Last updated 2023-11-21 UTC.

tfp.experimental.distributions.inflated_factory

Example usages

Args

Returns