Continuous Bernoulli EPCA

Math

NameContinuousBernoulliEPCA
$G(\theta)$$\log \frac{e^\theta - 1}{\theta}$
$g(\theta)$$\frac{\theta-1}{\theta} + \frac{1}{e^\theta - 1}$
$\mu$ Space[1]$(0, 1) \setminus \{\frac{1}{2}\}$
$\Theta$ Space$\mathbb{R} \setminus \{ 0 \}$
Appropriate Dataunit interval

Documentation

ExpFamilyPCA.ContinuousBernoulliEPCAFunction
ContinuousBernoulliEPCA(indim::Integer, outdim::Integer; options::Options = Options(μ = 0.5))

Continuous Bernoulli EPCA.

Arguments

  • indim::Integer: Dimension of the input space.
  • outdim::Integer: Dimension of the latent (output) space.
  • options::Options: Optional parameters (default: μ = 0.25).

Returns

  • epca: An EPCA subtype for the continuous Bernoulli distribution.
source
  • 1$\mu$ space refers to the space of valid regularization parameters, not to the expectation parameter space.