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import numpy as np | |
from matplotlib import pyplot as plt | |
from static.paint import PaintObject | |
from static.config import Config | |
def draw_learning_curve_total(input_dict, type, paint_object: PaintObject): | |
plt.figure(figsize=(10, 6), dpi=300) | |
if type == "train": | |
for i, values in enumerate(input_dict.values()): | |
train_sizes = values[0] | |
train_scores_mean = values[1] | |
train_scores_std = values[2] | |
test_scores_mean = values[3] | |
test_scores_std = values[4] | |
plt.fill_between( | |
train_sizes, | |
train_scores_mean - train_scores_std, | |
train_scores_mean + train_scores_std, | |
alpha=0.1, | |
color=paint_object.get_color_cur_list()[i] | |
) | |
plt.plot( | |
train_sizes, | |
train_scores_mean, | |
"o-", | |
color=paint_object.get_color_cur_list()[i], | |
label=paint_object.get_label_cur_list()[i] | |
) | |
else: | |
for i, values in enumerate(input_dict.values()): | |
train_sizes = values[0] | |
train_scores_mean = values[1] | |
train_scores_std = values[2] | |
test_scores_mean = values[3] | |
test_scores_std = values[4] | |
plt.fill_between( | |
train_sizes, | |
test_scores_mean - test_scores_std, | |
test_scores_mean + test_scores_std, | |
alpha=0.1, | |
color=paint_object.get_color_cur_list()[i] | |
) | |
plt.plot( | |
train_sizes, | |
test_scores_mean, | |
"o-", | |
color=paint_object.get_color_cur_list()[i], | |
label=paint_object.get_label_cur_list()[i] | |
) | |
plt.title(paint_object.get_name()) | |
plt.xlabel(paint_object.get_x_cur_label()) | |
plt.ylabel(paint_object.get_y_cur_label()) | |
plt.legend() | |
# plt.savefig("./diagram/{}.png".format(title), dpi=300) | |
# plt.show() | |
paint_object.set_color_cur_num(len(input_dict.keys())) | |
paint_object.set_label_cur_num(len(input_dict.keys())) | |
return plt, paint_object | |