romcomma.gpr.models.Likelihood

class Likelihood(parent, read_data=False, **kwargs)

Bases: Model

Parameters:

• parent (GPR) –

• read_data (bool) –

• kwargs (NP.Matrix) –

__init__(parent, read_data=False, **kwargs)

Model constructor, to be called by all subclasses as a matter of priority.

Parameters:

• folder – The model file location.

• read_data (bool) – If True, the model.data are read from folder, otherwise defaults are used.

• **kwargs (ndarray) – The model.data fields=values to replace after reading from file/defaults.

• parent (GPR) –

Methods

__init__(parent[, read_data])	Model constructor, to be called by all subclasses as a matter of priority.
calibrate(**kwargs)	Merely sets the trainable data.
read_meta()
write_meta(meta)

Attributes

META
VARIANCE_FLOOR
data
folder
is_covariant

class Data(folder, **kwargs)

Bases: Data

The Data set of a MOGP.

Parameters:

• folder (Path | str) –

• kwargs (Data.Matrix) –

NamedTuple

alias of Values

static copy(src_folder, dst_folder)

Returns a copy of src_folder at dst_folder, deleting anything existing at the destination.

Parameters:

• src_folder (Path | str) –

• dst_folder (Path | str) –

Return type:

Path

static delete(folder)

Returns a non-existent folder.

Parameters:

folder (Path | str) –

Return type:

Path

static empty(folder)

Returns an empty folder.

Parameters:

folder (Path | str) –

Return type:

Path

move(dst_folder)

Move self to dst_folder.

Parameters:

dst_folder (Path | str) – The folder to move to. If this exists, it will be emptied.

Return type:

Data

Returns: self for chaining calls.

classmethod read(folder, **kwargs)

Read Data from folder.

Parameters:

• folder (Path | str) – The folder to record the data. Must exist

• **kwargs (Frame | DataFrame | ndarray | Tensor) – key=ordinate initial pairs of NamedTuple fields, precisely as in NamedTuple(**kwargs). Missing fields receive their defaults, so Data(folder) is the default Data.

Return type:

Data

Returns: The Data stored in folder.

class property META: Dict[str, Any]

Default meta data.

Type:

Returns

calibrate(**kwargs)

Merely sets the trainable data.

Return type:

Dict[str, Any]