HistoryScope

class boulderopal.optimization.HistoryScope(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)

Configuration for the history data returned from a graph-based optimizer.

Variables

• NONE – Do not return any history information.
• ITERATION_VALUES – Return the value obtained at each iteration and optimization.
• HISTORICAL_BEST – Return the best values reached up to each iteration for each optimization.
• ALL – Return both the values obtained at each iteration and the historical best values.

SEE ALSO

boulderopal.run_gradient_free_optimization : Perform model-based optimization without using gradient values.

boulderopal.run_optimization : Perform gradient-based deterministic optimization of generic real-valued functions.

boulderopal.run_stochastic_optimization : Perform gradient-based stochastic optimization of generic real-valued functions.