Result

class kgpy.ctis.inversion.mart.result.Result(cube=None, best_cube=None, best_filtering_iteration=None, norm_history=<factory>, chisq_history=<factory>, mart_type_history=<factory>, cube_history=<factory>, total_intensity_history=<factory>, object_parameters=<factory>, call_parameters=<factory>)

Bases: object

Parameters:

• cube (ndarray | None) –

• best_cube (ndarray | None) –

• best_filtering_iteration (int | None) –

• norm_history (List[float]) –

• chisq_history (List[float]) –

• mart_type_history (List[int]) –

• cube_history (List[ndarray]) –

• total_intensity_history (List[ndarray]) –

• object_parameters (Dict[str, Any]) –

• call_parameters (Dict[str, Any]) –

__init__(cube=None, best_cube=None, best_filtering_iteration=None, norm_history=<factory>, chisq_history=<factory>, mart_type_history=<factory>, cube_history=<factory>, total_intensity_history=<factory>, object_parameters=<factory>, call_parameters=<factory>)

Parameters:

• cube (ndarray | None) –

• best_cube (ndarray | None) –

• best_filtering_iteration (int | None) –

• norm_history (List[float]) –

• chisq_history (List[float]) –

• mart_type_history (List[int]) –

• cube_history (List[ndarray]) –

• total_intensity_history (List[ndarray]) –

• object_parameters (Dict[str, Any]) –

• call_parameters (Dict[str, Any]) –

Return type:

None

Attributes

best_cube
best_filtering_iteration
cube
norm_history
chisq_history
mart_type_history
cube_history
total_intensity_history
object_parameters
call_parameters

Methods

__init__([cube, best_cube, ...])

Inheritance Diagram

digraph inheritance346ce39be1 { bgcolor=transparent; rankdir=TB; size="8.0, 12.0"; "kgpy.ctis.inversion.mart.result.Result" [URL="kgpy.ctis.inversion.mart.result.Result.html#kgpy.ctis.inversion.mart.result.Result",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Result(cube: 'typ.Optional[np.ndarray]' = None, best_cube: 'typ.Optional[np.ndarray]' = None, best_filtering_iteration: Optional[int] = None, norm_history: List[float] = <factory>, chisq_history: List[float] = <factory>, mart_type_history: List[int] = <factory>, cube_history: List[numpy.ndarray] = <factory>, total_intensity_history: List[numpy.ndarray] = <factory>, object_parameters: Dict[str, Any] = <factory>, call_parameters: Dict[str, Any] = <factory>)"]; }

best_cube: typing.Optional[numpy.ndarray] = None

best_filtering_iteration: typing.Optional[int] = None

call_parameters: typing.Dict[str, typing.Any]

chisq_history: typing.List[float]

cube: typing.Optional[numpy.ndarray] = None

cube_history: typing.List[numpy.ndarray]

mart_type_history: typing.List[int]

norm_history: typing.List[float]

object_parameters: typing.Dict[str, typing.Any]

total_intensity_history: typing.List[numpy.ndarray]