Total Complexity | 3 |
Total Lines | 38 |
Duplicated Lines | 0 % |
Changes | 0 |
1 | """Process handling for hyperparameter optimization. |
||
2 | |||
3 | Author: Simon Blanke |
||
4 | Email: [email protected] |
||
5 | License: MIT License |
||
6 | """ |
||
7 | |||
8 | from tqdm import tqdm |
||
9 | |||
10 | |||
11 | def _process_(nth_process, optimizer): |
||
12 | if "progress_bar" in optimizer.verbosity: |
||
13 | p_bar = tqdm( |
||
14 | position=nth_process, |
||
15 | total=optimizer.n_iter, |
||
16 | ascii=" ─", |
||
17 | colour="Yellow", |
||
18 | ) |
||
19 | else: |
||
20 | p_bar = None |
||
21 | |||
22 | optimizer.search(nth_process, p_bar) |
||
23 | |||
24 | if p_bar: |
||
25 | p_bar.colour = "GREEN" |
||
26 | p_bar.refresh() |
||
27 | p_bar.close() |
||
28 | |||
29 | return { |
||
30 | "nth_process": nth_process, |
||
31 | "best_para": optimizer.best_para, |
||
32 | "best_score": optimizer.best_score, |
||
33 | "best_iter": optimizer.best_since_iter, |
||
34 | "eval_times": optimizer.eval_times, |
||
35 | "iter_times": optimizer.iter_times, |
||
36 | "search_data": optimizer.search_data, |
||
37 | "random_seed": optimizer.random_seed, |
||
38 | } |
||
39 |