v1.1.0

Changed from v1.0.1

• New feature
  • Now history stores elapsed times (#28, #40)
    • time_total: total time in steps
    • time_update_predictor: time for updating model, e.g., learning hyper parameters
    • time_get_action: time for suggesting next actions (candidates)
    • time_run_simulator: time for evaluating objective functions
  • is_disp argument of bayes_search now can suppress the message in the hyper-parameter learning process (#41)
    • NOTE: Previously, users had to set config.learning.is_disp = False in order to suppress.
• Bug fixes
  • Algorithm of multiple-probe search in multiple-objective optimization is fixed (#36)
  • base_predictor.save and base_predictor.load now work (#37)
  • show_start_message_multi_search_mo are replaced by show_start_message_multi (#35, #39)
  • Make self.actions an instance of np.ndarray (#32, #34)

Full Changelog: v1.0.1...v1.1.0