openfermioncirq.optimization.OptimizationTrialResult¶

class openfermioncirq.optimization.OptimizationTrialResult(results: Iterable[openfermioncirq.optimization.result.OptimizationResult], params: OptimizationParams)[source]¶

The results from multiple repetitions of an optimization run.

data_frame¶

A pandas DataFrame storing the results of each repetition of the optimization run. It has the following columns:

optimal_value: The optimal value found. optimal_parameters: The function input corresponding to the

optimal value.

num_evaluations: The number of function evaluations used

by the optimization algorithm.

cost_spent: The total cost spent on function evaluations. seed: A random number generator seed used by the repetition. status: A status returned by the optimization algorithm. message: A message returned by the optimization algorithm. time: The time it took for the repetition to complete. average_wait_time: The average time used by the optimizer to

decide on the next evaluation point.

params¶: An OptimizationParams object storing the optimization parameters used to obtain the results.

repetitions¶: The number of times the optimization run was repeated.

optimal_value¶: The optimal value over all repetitions of the run.

optimal_parameters¶: The function parameters corresponding to the optimal value.

__init__(results: Iterable[openfermioncirq.optimization.result.OptimizationResult], params: OptimizationParams) → None[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`(results, params)	Initialize self.
`extend`(results)

Attributes

`optimal_parameters`
`optimal_value`
`repetitions`