budget

Summary DataFrame generation for budget allocation results.

Access via budget optimizer wrapper:

samples = optimizer.allocate_budget(...)
df = optimizer.summary.allocation_roas(samples=samples)

Or via BudgetPlots:

df = optimizer.plot.summary.allocation_roas(samples=samples)

Functions

prepare_allocation_roas(samples[, dims])	Prepare per-channel ROAS DataArray from budget allocation samples.
prepare_contribution_over_time(samples[, dims])	Prepare channel contribution time series from budget allocation samples.

Classes

BudgetSummaryFactory()

Factory for creating summary DataFrames from budget allocation samples.