Helpers for Parameters in Black-Box Optimization, Tuning and
Machine Learning
Functions for parameter descriptions and operations
in black-box optimization, tuning and machine learning. Parameters can
be described (type, constraints, defaults, etc.), combined to
parameter sets and can in general be programmed on. A useful OptPath
object (archive) to log function evaluations is also provided.
Tests Vignettes
Available Snapshots
This version of ParamHelpers can be found in the following snapshots: