Links

class blayers.links.Link(*args)

Bases: ABC

Parameters:

args (Any)

abstractmethod __init__(*args)

Initialize link parameters.

Parameters:

args (Any)

Return type:

None

abstractmethod __call__(*args)

Execute the link function.

Parameters:

args (Any)

Return type:

Any

class blayers.links.LocScaleLink(sigma_dist=<class 'numpyro.distributions.continuous.Exponential'>, sigma_kwargs={'rate': 1.0}, obs_dist=<class 'numpyro.distributions.continuous.Normal'>, obs_kwargs={}, dependent_outputs=False)

Bases: Link

Parameters:

• sigma_dist (Distribution)

• sigma_kwargs (dict[str, float])

• obs_dist (Distribution)

• obs_kwargs (dict[str, float])

• dependent_outputs (bool)

__init__(sigma_dist=<class 'numpyro.distributions.continuous.Exponential'>, sigma_kwargs={'rate': 1.0}, obs_dist=<class 'numpyro.distributions.continuous.Normal'>, obs_kwargs={}, dependent_outputs=False)

Initialize link parameters.

Parameters:

• sigma_dist (Distribution)

• sigma_kwargs (dict[str, float])

• obs_dist (Distribution)

• obs_kwargs (dict[str, float])

• dependent_outputs (bool)

Return type:

None

__call__(y_hat, y=None)

Execute the link function.

Parameters:

• y_hat (Array)

• y (Array | None)

Return type:

Array

class blayers.links.SingleParamLink(obs_dist=<function Bernoulli>, dependent_outputs=False)

Bases: Link

Parameters:

• obs_dist (Distribution)

• dependent_outputs (bool)

__init__(obs_dist=<function Bernoulli>, dependent_outputs=False)

Initialize link parameters.

Parameters:

• obs_dist (Distribution)

• dependent_outputs (bool)

Return type:

None

__call__(y_hat, y=None)

Execute the link function.

Parameters:

• y_hat (Array)

• y (Array | None)

Return type:

Array