SimonBlanke /
Gradient-Free-Optimizers
| Conditions | 2 |
| Total Lines | 62 |
| Code Lines | 46 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
| 1 | import os |
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| 49 | def plot_search_path(optimizer_key): |
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| 50 | opt_class, n_inits = optimizer_dict[optimizer_key] |
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| 51 | opt = opt_class(search_space) |
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| 52 | |||
| 53 | opt.search( |
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| 54 | objective_function, |
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| 55 | n_iter=50, |
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| 56 | random_state=0, |
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| 57 | memory=False, |
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| 58 | verbosity={"progress_bar": True, "print_results": False}, |
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| 59 | initialize={"vertices": n_inits}, |
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| 60 | ) |
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| 61 | |||
| 62 | optimizers = opt.optimizers |
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| 63 | |||
| 64 | print(optimizers, "\n") |
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| 65 | |||
| 66 | plt.figure(figsize=(5.5, 4.7)) |
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| 67 | plt.set_cmap("jet") |
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| 68 | |||
| 69 | for n, opt_ in enumerate(optimizers): |
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| 70 | pos_list = np.array(opt_.pos_new_list) |
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| 71 | score_list = np.array(opt_.score_new_list) |
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| 72 | |||
| 73 | # print("\npos_list\n", pos_list, "\n", len(pos_list)) |
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| 74 | # print("score_list\n", score_list, "\n", len(score_list)) |
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| 75 | |||
| 76 | plt.plot( |
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| 77 | pos_list[:, 0], |
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| 78 | pos_list[:, 1], |
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| 79 | linestyle="--", |
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| 80 | marker=",", |
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| 81 | color="black", |
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| 82 | alpha=0.33, |
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| 83 | label=n, |
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| 84 | ) |
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| 85 | plt.scatter( |
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| 86 | pos_list[:, 0], |
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| 87 | pos_list[:, 1], |
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| 88 | c=score_list, |
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| 89 | marker="H", |
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| 90 | s=5, |
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| 91 | vmin=-1000, |
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| 92 | vmax=0, |
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| 93 | label=n, |
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| 94 | ) |
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| 95 | |||
| 96 | plt.xlabel("X") |
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| 97 | plt.ylabel("Y") |
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| 98 | |||
| 99 | plt.xlim((0, 200)) |
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| 100 | plt.ylim((0, 200)) |
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| 101 | plt.colorbar() |
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| 102 | # plt.legend(loc="upper left") |
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| 103 | |||
| 104 | plt.tight_layout() |
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| 105 | plt.savefig( |
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| 106 | os.path.abspath(os.path.dirname(__file__)) |
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| 107 | + "/plots/temp/" |
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| 108 | + optimizer_key |
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| 109 | + "_path.png", |
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| 110 | dpi=400, |
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| 111 | ) |
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| 117 |
