aiaccel.hpo.algorithms.NelderMeadAlgorism#
- class aiaccel.hpo.algorithms.NelderMeadAlgorism(dimensions: int | None = None, coeff: NelderMeadCoefficient | None = None, rng: RandomState | None = None, block: bool = False, timeout: int | None = None)[source]#
Class to manage the NelderMead algorithm
Uses a queue to receive results and advance the NelderMead algorithm. Return parameters within the normalization range by referring only to the number of dimensions.
- Parameters:
dimensions – int | None = None The number of dimensions in the search space.
coeff – NelderMeadCoefficient | None = None Parameters used in NelderMead.
rng – np.random.RandomState | None = None RandomState used for calculating initial points.
block – bool = False Sets whether to block the queue used internally.
timeout – int | None = None Time to block the queue.
- vertices#
list[npt.NDArray[np.float64]] List of simplex parameters.
- Type:
list[numpy.ndarray[tuple[int, …], numpy.dtype[numpy.float64]]]
- values#
list[float] List of simplex calculation results.
- Type:
list[float]
- generator#
iterator Generator for NelderMead parameters.
- lock#
threading.Lock threading.Lock variable used for thread-safe processing.
- results#
queue.Queue[tuple[npt.NDArray[np.float64], float, bool]] Queue to receive tuples of parameters, calculation results, and a boolean indicating whether the parameters were output by NelderMead.
- Type:
queue.Queue[tuple[numpy.ndarray[tuple[int, …], numpy.dtype[numpy.float64]], float, bool]]
- simplex_size#
int Number of vertices in the simplex.
- __init__(dimensions: int | None = None, coeff: NelderMeadCoefficient | None = None, rng: RandomState | None = None, block: bool = False, timeout: int | None = None) None[source]#
Methods
__init__([dimensions, coeff, rng, block, ...])get_vertex([dimensions])Method to return the next parameters for NelderMead
put_value(vertex, value[, enqueue])Method to pass a pair of parameters and results to NelderMead
Attributes