chronpy.psd.models#

build_namespace(names: list[str]) → dict[str, list[str]][source]#

Build a namespace from a sequence of names.

Parameters:

namessequence of str: A sequence of names.

Returns:

namespace: dict: A dict of non-duplicate names and suffixes in original name order.

evaluate_stack(stack, result)[source]#

extract_stack(component, names)[source]#

class Model(component: Component)[source]#

Bases: Module

Attributes

default
prior

Methods

`eval`(**attributes)	Sets the Module to evaluation mode.
`iter_children`()	Iterates over all children `Module`'s of the current Module.
`iter_modules`()	Recursively iterates over all nested `Module`'s of the current Module, including the current Module.
`perturb`(name, value, variable_type)	Add an zero-value variable ("perturbation") to the intermediate value.
`set_attributes`(*filters[, raise_if_not_found])	Sets the attributes of nested Modules including the current Module.
`sow`(variable_type, name, value, reduce_fn, ...)	`sow()` can be used to collect intermediate values without the overhead of explicitly passing a container through each Module call.
`train`(**attributes)	Sets the Module to training mode.

power

power(params, freq_bins)[source]#

property prior#

property default#

class Component(*args: Any, **kwargs: Any)[source]#

Bases: Module

Attributes

params
prior

Methods

`eval`(**attributes)	Sets the Module to evaluation mode.
`iter_children`()	Iterates over all children `Module`'s of the current Module.
`iter_modules`()	Recursively iterates over all nested `Module`'s of the current Module, including the current Module.
`perturb`(name, value, variable_type)	Add an zero-value variable ("perturbation") to the intermediate value.
`set_attributes`(*filters[, raise_if_not_found])	Sets the attributes of nested Modules including the current Module.
`sow`(variable_type, name, value, reduce_fn, ...)	`sow()` can be used to collect intermediate values without the overhead of explicitly passing a container through each Module call.
`train`(**attributes)	Sets the Module to training mode.

integral
power

power(freq_bins)[source]#

abstract integral(freq_bins)[source]#

property params#

property prior#

class CompositeComponent(lhs: Component, rhs: Component, op: Callable)[source]#

Bases: Component

Attributes

params
prior

Methods

`eval`(**attributes)	Sets the Module to evaluation mode.
`iter_children`()	Iterates over all children `Module`'s of the current Module.
`iter_modules`()	Recursively iterates over all nested `Module`'s of the current Module, including the current Module.
`perturb`(name, value, variable_type)	Add an zero-value variable ("perturbation") to the intermediate value.
`set_attributes`(*filters[, raise_if_not_found])	Sets the attributes of nested Modules including the current Module.
`sow`(variable_type, name, value, reduce_fn, ...)	`sow()` can be used to collect intermediate values without the overhead of explicitly passing a container through each Module call.
`train`(**attributes)	Sets the Module to training mode.

integral
power

integral(freq_bins)[source]#

class NumIntComponent(*args: Any, **kwargs: Any)[source]#

Bases: Component

Base class for components that require numerical integration.

Parameters:

integratorstr, optional: The numerical integrator to use. Either ‘trapz’ or ‘simpson’.
nsubint, optional: The number of subintervals to use for numerical integration. The default is 1 for ‘trapz’ and 2 for ‘simpson’.

Attributes

params
prior

Methods

`eval`(**attributes)	Sets the Module to evaluation mode.
`iter_children`()	Iterates over all children `Module`'s of the current Module.
`iter_modules`()	Recursively iterates over all nested `Module`'s of the current Module, including the current Module.
`perturb`(name, value, variable_type)	Add an zero-value variable ("perturbation") to the intermediate value.
`set_attributes`(*filters[, raise_if_not_found])	Sets the attributes of nested Modules including the current Module.
`sow`(variable_type, name, value, reduce_fn, ...)	`sow()` can be used to collect intermediate values without the overhead of explicitly passing a container through each Module call.
`train`(**attributes)	Sets the Module to training mode.

continuum
integral
power

integral(freq_bins: ndarray)[source]#

abstract continuum(freq)[source]#

class Const(*args: Any, **kwargs: Any)[source]#

Bases: Component

Attributes

params
prior

Methods

`eval`(**attributes)	Sets the Module to evaluation mode.
`iter_children`()	Iterates over all children `Module`'s of the current Module.
`iter_modules`()	Recursively iterates over all nested `Module`'s of the current Module, including the current Module.
`perturb`(name, value, variable_type)	Add an zero-value variable ("perturbation") to the intermediate value.
`set_attributes`(*filters[, raise_if_not_found])	Sets the attributes of nested Modules including the current Module.
`sow`(variable_type, name, value, reduce_fn, ...)	`sow()` can be used to collect intermediate values without the overhead of explicitly passing a container through each Module call.
`train`(**attributes)	Sets the Module to training mode.

integral
power

integral(freq_bins)[source]#

class PL(*args: Any, **kwargs: Any)[source]#

Bases: Component

Attributes

params
prior

Methods

`eval`(**attributes)	Sets the Module to evaluation mode.
`iter_children`()	Iterates over all children `Module`'s of the current Module.
`iter_modules`()	Recursively iterates over all nested `Module`'s of the current Module, including the current Module.
`perturb`(name, value, variable_type)	Add an zero-value variable ("perturbation") to the intermediate value.
`set_attributes`(*filters[, raise_if_not_found])	Sets the attributes of nested Modules including the current Module.
`sow`(variable_type, name, value, reduce_fn, ...)	`sow()` can be used to collect intermediate values without the overhead of explicitly passing a container through each Module call.
`train`(**attributes)	Sets the Module to training mode.

integral
power

integral(freq_bins)[source]#

class BrokenPL(*args: Any, **kwargs: Any)[source]#

Bases: Component

Attributes

params
prior

Methods

`eval`(**attributes)	Sets the Module to evaluation mode.
`iter_children`()	Iterates over all children `Module`'s of the current Module.
`iter_modules`()	Recursively iterates over all nested `Module`'s of the current Module, including the current Module.
`perturb`(name, value, variable_type)	Add an zero-value variable ("perturbation") to the intermediate value.
`set_attributes`(*filters[, raise_if_not_found])	Sets the attributes of nested Modules including the current Module.
`sow`(variable_type, name, value, reduce_fn, ...)	`sow()` can be used to collect intermediate values without the overhead of explicitly passing a container through each Module call.
`train`(**attributes)	Sets the Module to training mode.

integral
power

integral(freq_bins)[source]#

class BentPL(*args: Any, **kwargs: Any)[source]#

Bases: NumIntComponent

Attributes

params
prior

Methods

`eval`(**attributes)	Sets the Module to evaluation mode.
`iter_children`()	Iterates over all children `Module`'s of the current Module.
`iter_modules`()	Recursively iterates over all nested `Module`'s of the current Module, including the current Module.
`perturb`(name, value, variable_type)	Add an zero-value variable ("perturbation") to the intermediate value.
`set_attributes`(*filters[, raise_if_not_found])	Sets the attributes of nested Modules including the current Module.
`sow`(variable_type, name, value, reduce_fn, ...)	`sow()` can be used to collect intermediate values without the overhead of explicitly passing a container through each Module call.
`train`(**attributes)	Sets the Module to training mode.

continuum
integral
power

continuum(freq)[source]#

class SmoothlyBrokenPL(*args: Any, **kwargs: Any)[source]#

Bases: NumIntComponent

Attributes

params
prior

Methods

`eval`(**attributes)	Sets the Module to evaluation mode.
`iter_children`()	Iterates over all children `Module`'s of the current Module.
`iter_modules`()	Recursively iterates over all nested `Module`'s of the current Module, including the current Module.
`perturb`(name, value, variable_type)	Add an zero-value variable ("perturbation") to the intermediate value.
`set_attributes`(*filters[, raise_if_not_found])	Sets the attributes of nested Modules including the current Module.
`sow`(variable_type, name, value, reduce_fn, ...)	`sow()` can be used to collect intermediate values without the overhead of explicitly passing a container through each Module call.
`train`(**attributes)	Sets the Module to training mode.

continuum
integral
power

continuum(freq)[source]#

class Lorentz(*args: Any, **kwargs: Any)[source]#

Bases: Component

Attributes

params
prior

Methods

`eval`(**attributes)	Sets the Module to evaluation mode.
`iter_children`()	Iterates over all children `Module`'s of the current Module.
`iter_modules`()	Recursively iterates over all nested `Module`'s of the current Module, including the current Module.
`perturb`(name, value, variable_type)	Add an zero-value variable ("perturbation") to the intermediate value.
`set_attributes`(*filters[, raise_if_not_found])	Sets the attributes of nested Modules including the current Module.
`sow`(variable_type, name, value, reduce_fn, ...)	`sow()` can be used to collect intermediate values without the overhead of explicitly passing a container through each Module call.
`train`(**attributes)	Sets the Module to training mode.

integral
power

integral(freq_bins)[source]#