estimator.util

Description

Classes

Bounds(low, high)	Create new instance of Bounds(low, high)
LazyEvaluation(f, max_n_cache, eval)
Task(f, x, log_level, f_name, catch_exceptions)	Create new instance of Task(f, x, log_level, f_name, catch_exceptions)
TaskResults(_map)
early_abort_range(start[, stop, step, ...])	An iterator context for finding a local minimum using linear search.
local_minimum(start, stop[, precision, ...])	An iterator context for finding a local minimum using binary search.
local_minimum_base(start, stop[, smallerf, ...])	An iterator context for finding a local minimum using binary search.

Functions

batch_estimate(params, algorithm[, jobs, ...])	Run estimates for all algorithms for all parameters.
binary_search(f, start, stop, param[, step, ...])	Searches for the best value in the interval [start,stop] depending on the given comparison function.
f_name(f)
log2(x)