figaro.marginal module

figaro.marginal.condition(draws, vals, dims, norm=True, filter=True, tol=0.0001)

Probability density conditioned on specific values of a subset of parameters.

Parameters:

• draws (figaro.mixture.mixture) – mixture(s)

• vals (iterable) – value(s) to condition on

• dims (int or list of int) – dimension(s) associated with given vals (starting from 0)

• norm (bool) – normalize the distribution

• filter (bool) – filter the components with weight < tol

• tol (double) – tolerance on the sum of the weights

Returns:

the conditioned mixture(s)

Return type:

figaro.mixture.mixture

figaro.marginal.marginalise(draws, axis=-1)

Marginalise out one or more dimensions from a FIGARO draw.

Parameters:

• draws (figaro.mixture.mixture) – mixture(s)

• axis (int or list of int) – axis to marginalise on

Returns:

the marginalised mixture(s)

Return type:

figaro.mixture.mixture