OptimizationIterationInfo#

class pymc_marketing.mmm.budget_optimizer.OptimizationIterationInfo[source]#

Solver state at one iteration, recorded when callback=True.

Methods

OptimizationIterationInfo.__init__(*args, ...)

OptimizationIterationInfo.clear()

OptimizationIterationInfo.copy()

OptimizationIterationInfo.fromkeys(iterable)

Create a new dictionary with keys from iterable and values set to value.

OptimizationIterationInfo.get(key[, default])

Return the value for key if key is in the dictionary, else default.

OptimizationIterationInfo.items()

OptimizationIterationInfo.keys()

OptimizationIterationInfo.pop(key[, default])

If the key is not found, return the default if given; otherwise, raise a KeyError.

OptimizationIterationInfo.popitem(/)

Remove and return a (key, value) pair as a 2-tuple.

OptimizationIterationInfo.setdefault(key[, ...])

Insert key with a value of default if key is not in the dictionary.

OptimizationIterationInfo.update([E, ]**F)

If E is present and has a .keys() method, then does: for k in E.keys(): D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

OptimizationIterationInfo.values()

Attributes

x

fun

jac

constraint_info