Anneal Tuner

This simple annealing algorithm begins by sampling from the prior but tends over time to sample from points closer and closer to the best ones observed. This algorithm is a simple variation on random search that leverages smoothness in the response surface. The annealing rate is not adaptive.

Usage

classArgs Requirements

• optimize_mode (maximize or minimize, optional, default = maximize) - If ‘maximize’, the tuner will try to maximize metrics. If ‘minimize’, the tuner will try to minimize metrics.

Example Configuration

# config.yml
tuner:
  name: Anneal
  classArgs:
    optimize_mode: maximize