gemseo.algos.doe.oat_doe.settings.oat_doe_settings module#
Settings of the OAT DOE.
- Settings OATDOE_Settings(*, enable_progress_bar=None, eq_tolerance=0.01, ineq_tolerance=0.0001, log_problem=True, max_time=0.0, normalize_design_space=False, reset_iteration_counters=True, round_ints=True, use_database=True, use_one_line_progress_bar=False, store_jacobian=True, eval_jac=False, n_processes=1, wait_time_between_samples=0.0, callbacks=(), initial_point, step=0.05)[source]#
Bases:
BaseDOESettingsThe settings of the OAT DOE.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
enable_progress_bar (bool | None)
eq_tolerance (Annotated[float, Ge(ge=0), Ge(ge=0)]) --
By default it is set to 0.01.
ineq_tolerance (Annotated[float, Ge(ge=0)]) --
By default it is set to 0.0001.
log_problem (bool) --
By default it is set to True.
max_time (Annotated[float, Ge(ge=0)]) --
By default it is set to 0.0.
normalize_design_space (bool) --
By default it is set to False.
reset_iteration_counters (bool) --
By default it is set to True.
round_ints (bool) --
By default it is set to True.
use_database (bool) --
By default it is set to True.
use_one_line_progress_bar (bool) --
By default it is set to False.
store_jacobian (bool) --
By default it is set to True.
eval_jac (bool) --
By default it is set to False.
n_processes (Annotated[int, Gt(gt=0)]) --
By default it is set to 1.
wait_time_between_samples (Annotated[float, Ge(ge=0)]) --
By default it is set to 0.0.
callbacks (Sequence[Annotated[Callable[[int, tuple[dict[str, float | ndarray[Any, dtype[floating[Any]]]], dict[str, ndarray[Any, dtype[floating[Any]]]]]], Any], WithJsonSchema(json_schema={}, mode=None)]]) --
By default it is set to ().
initial_point (_NDArrayPydantic[Any, dtype[_ScalarType_co]])
step (Annotated[float, Gt(gt=0)]) --
By default it is set to 0.05.
- Return type:
None
- initial_point: NDArrayPydantic [Required]#
The initial point of the OAT DOE.
- step: PositiveFloat = 0.05#
The relative step of the OAT DOE.
The step in the
xdirection is step*(max_x-min_x)`` ifx+step*(max_x-min_x)<=max_xand-step*(max_x- min_x)otherwise.- Constraints:
gt = 0
- model_post_init(context, /)#
We need to both initialize private attributes and call the user-defined model_post_init method.
- Parameters:
self (BaseModel)
context (Any)
- Return type:
None