IterationResult

class IterationResult

Bases: NamedTuple

A class to represent the result of an iteration.

annealing_best_solution

The best solution found by the annealing process.

Type:

Solution

annealing_new_solution

The new (unique) solution found by the annealing process.

Type:

Solution | None

fallback_solution

The fallback solution if the annealing process did not find a new (unique) solution.

Type:

Solution | None

timing

The timing information for the iteration.

Type:

Timing | None

surrogate_model_info

Information about the surrogate model, such as correlation coefficients.

Type:

SurrogateModelInfo | None

amplify_result

The raw result from the Amplify SDK.

Type:

amplify.Result | None

Methods

__init__

count

Return number of occurrences of value.

index

Return first index of value.

Attributes

amplify_result

Alias for field number 5

annealing_best_solution

Alias for field number 0

annealing_new_solution

Alias for field number 1

fallback_solution

Alias for field number 2

surrogate_model_info

Alias for field number 4

timing

Alias for field number 3

class SurrogateModelInfo

Bases: NamedTuple

Information about the surrogate model.

corrcoef

Lower percentile correlation coefficients for the surrogate model.

Type:

dict[int, float]

__add__(value, /)

Return self+value.

__class_getitem__()

See PEP 585

__contains__(key, /)

Return key in self.

__eq__(value, /)

Return self==value.

__ge__(value, /)

Return self>=value.

__getattribute__(name, /)

Return getattr(self, name).

__getitem__(key, /)

Return self[key].

__getnewargs__()

Return self as a plain tuple. Used by copy and pickle.

__gt__(value, /)

Return self>value.

__hash__()

Return hash(self).

__iter__()

Implement iter(self).

__le__(value, /)

Return self<=value.

__len__()

Return len(self).

__lt__(value, /)

Return self<value.

__mul__(value, /)

Return self*value.

__ne__(value, /)

Return self!=value.

__repr__()

Return a nicely formatted representation string

__rmul__(value, /)

Return value*self.

count(value, /)

Return number of occurrences of value.

index(value, start=0, stop=9223372036854775807, /)

Return first index of value.

Raises ValueError if the value is not present.

__match_args__ = ('corrcoef',)
__orig_bases__ = (<function NamedTuple>,)
__slots__ = ()
corrcoef: dict[int, float]

Alias for field number 0

class Timing

Bases: NamedTuple

A class to represent the timing information for an iteration.

training

Time taken for training the surrogate model.

Type:

float

minimization

Time taken for minimizing the surrogate model (annealing).

Type:

float

find_unique_solution

Time taken to find a unique solution.

Type:

float

fallback

Time taken for fallback solution generation.

Type:

float

update_dataset

Time taken to update the training dataset.

Type:

float

update_history

Time taken to update the optimization history.

Type:

float

__add__(value, /)

Return self+value.

__class_getitem__()

See PEP 585

__contains__(key, /)

Return key in self.

__eq__(value, /)

Return self==value.

__ge__(value, /)

Return self>=value.

__getattribute__(name, /)

Return getattr(self, name).

__getitem__(key, /)

Return self[key].

__getnewargs__()

Return self as a plain tuple. Used by copy and pickle.

__gt__(value, /)

Return self>value.

__hash__()

Return hash(self).

__iter__()

Implement iter(self).

__le__(value, /)

Return self<=value.

__len__()

Return len(self).

__lt__(value, /)

Return self<value.

__mul__(value, /)

Return self*value.

__ne__(value, /)

Return self!=value.

__repr__()

Return a nicely formatted representation string

__rmul__(value, /)

Return value*self.

count(value, /)

Return number of occurrences of value.

index(value, start=0, stop=9223372036854775807, /)

Return first index of value.

Raises ValueError if the value is not present.

__match_args__ = ('minimization', 'training', 'find_unique_solution', 'fallback', 'update_dataset', 'update_history')
__orig_bases__ = (<function NamedTuple>,)
__slots__ = ()
fallback: float

Alias for field number 3

find_unique_solution: float

Alias for field number 2

minimization: float

Alias for field number 0

training: float

Alias for field number 1

update_dataset: float

Alias for field number 4

update_history: float

Alias for field number 5

__add__(value, /)

Return self+value.

__class_getitem__()

See PEP 585

__contains__(key, /)

Return key in self.

__eq__(value, /)

Return self==value.

__ge__(value, /)

Return self>=value.

__getattribute__(name, /)

Return getattr(self, name).

__getitem__(key, /)

Return self[key].

__getnewargs__()

Return self as a plain tuple. Used by copy and pickle.

__gt__(value, /)

Return self>value.

__hash__()

Return hash(self).

__iter__()

Implement iter(self).

__le__(value, /)

Return self<=value.

__len__()

Return len(self).

__lt__(value, /)

Return self<value.

__mul__(value, /)

Return self*value.

__ne__(value, /)

Return self!=value.

__repr__()

Return a nicely formatted representation string

__rmul__(value, /)

Return value*self.

count(value, /)

Return number of occurrences of value.

index(value, start=0, stop=9223372036854775807, /)

Return first index of value.

Raises ValueError if the value is not present.

__match_args__ = ('annealing_best_solution', 'annealing_new_solution', 'fallback_solution', 'timing', 'surrogate_model_info', 'amplify_result')
__orig_bases__ = (<function NamedTuple>,)
__slots__ = ()
amplify_result: amplify.Result | None

Alias for field number 5

annealing_best_solution: Solution

Alias for field number 0

annealing_new_solution: Solution | None

Alias for field number 1

fallback_solution: Solution | None

Alias for field number 2

surrogate_model_info: SurrogateModelInfo | None

Alias for field number 4

timing: Timing | None

Alias for field number 3