postprocessor.core.processes.gpsignal.gpsignalParameters

class postprocessor.core.processes.gpsignal.gpsignalParameters(**kwargs)

Bases: ParametersABC

Parameters
dtfloat

The time step between time points, in minutes

norunsint

The number of times the optimisation is tried

boundsdict

Hyperparameter bounds for the Matern Kernel

verbosebool

Determines whether to print hyperparameter results

Methods

from_yaml(source)

Returns instance from a yaml filename or stdin

to_dict([iterable])

Recursive function to return a nested dictionary of the attributes of the class instance.

to_yaml([path])

Returns a yaml stream of the attributes of the class instance.

update(name, new_value)

Update values recursively if name is a dictionary, inject data where found.

default

from_dict

__init__(**kwargs)

Defines parameters as attributes

Methods

__init__(**kwargs)

Defines parameters as attributes

default(**kwargs)

from_dict(d)

from_yaml(source)

Returns instance from a yaml filename or stdin

to_dict([iterable])

Recursive function to return a nested dictionary of the attributes of the class instance.

to_yaml([path])

Returns a yaml stream of the attributes of the class instance.

update(name, new_value)

Update values recursively if name is a dictionary, inject data where found.

classmethod from_yaml(source: Union[PosixPath, str])

Returns instance from a yaml filename or stdin

to_dict(iterable='null')

Recursive function to return a nested dictionary of the attributes of the class instance.

to_yaml(path: Optional[Union[PosixPath, str]] = None)

Returns a yaml stream of the attributes of the class instance. If path is provided, the yaml stream is saved there.

Parameters
pathUnion[PosixPath, str]

Output path.

update(name: str, new_value)

Update values recursively if name is a dictionary, inject data where found. It forbids type changes.