VegasGridOptimizer

class madspace.VegasGridOptimizer(self: madspace._madspace_py.VegasGridOptimizer, contexts: collections.abc.Sequence[madspace._madspace_py.Context], grid_name: str, damping: SupportsFloat)

Bases: pybind11_object

Refines a VegasMapping grid from accumulated bin statistics.

The training-time counterpart of VegasHistogram — add_data feeds in the per-bin weight sums accumulated during a warm-up run, and optimize rewrites the grid_name global on every context in contexts with the refined grid.

Parameters:

• contexts – Contexts sharing the grid to refine.

• grid_name – Global name of the VEGAS grid.

• damping – Damping factor limiting the size of a single update.

add_data(self: madspace._madspace_py.VegasGridOptimizer, values: object, counts: object) → None

Accumulate one batch of per-bin weights and inputs; see VegasHistogram.

optimize(self: madspace._madspace_py.VegasGridOptimizer) → None

Refine the grid from the accumulated data and write it back to every context.