estimator.util

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)