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SciPy generators

xopt.generators.scipy.neldermead.NelderMeadGenerator 

NelderMeadGenerator(**kwargs)

Bases: Generator

Nelder-Mead algorithm from SciPy in Xopt's Generator form. Converted to use a state machine to resume in exactly the last state.

Source code in xopt/generators/scipy/neldermead.py 
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def __init__(self, **kwargs):
    super().__init__(**kwargs)

    # Initialize the first candidate if not given
    if self.initial_point is None:
        self.initial_point = self.vocs.random_inputs()[0]

    self._saved_options = self.model_dump(
        exclude={"current_state", "future_state"}
    ).copy()  # Used to keep track of changed options

    if self.initial_simplex:
        self._initial_simplex = np.array(
            [self.initial_simplex[k] for k in self.vocs.variable_names]
        ).T
    else:
        self._initial_simplex = None

Attributes

xopt.generators.scipy.neldermead.NelderMeadGenerator.simplex property 
simplex

Returns the simplex in the current state.

xopt.generators.scipy.neldermead.NelderMeadGenerator.x0 property 
x0

Raw internal initial point for convenience