def visualize(self, xs, estimates, answers):
mu.draw_images_horz(xs, self.image_shape)
ests, anss = np.hsplit(estimates,
self.cnts), np.hsplit(answers, self.cnts)
captions = ['도메인', '상품']
for m in range(2):
print('[ {} 추정결과 ]'.format(captions[m]))
mu.show_select_results(ests[m], anss[m], self.target_names[m], 8)
def visualize(self, xs, estimates, answers):
print(" office visualize ")
# print(f"estimates{estimates}\n{answers}")
mu.draw_images_horz(xs, self.image_shape)
# print(f"estimates type {type(estimates)} shape {estimates.shape}")
ests, anss = np.hsplit(estimates,
self.cnts), np.hsplit(answers, self.cnts)
captions = ['도메인', '상품']
# print(f"self.target_names,{len(self.target_names[0])},\n,{len(self.target_names[1])}")
for m in range(2):
print('[ {} 추정결과 ]'.format(captions[m]))
print(f"ests[{m}]{ests[m].shape}")
mu.show_select_results(ests[m], anss[m], self.target_names[m], 8)
def visualize(self, xs, estimates, answers):
# print("dataset visualize")
# print(f"self.name{self.name}")
if self.name == 'abalone':
for n in range(len(xs)):
x, est, ans = xs[n], estimates[n], answers[n]
xstr = mu.vector_to_str(x, '%4.2f')
print('{} => 추정 {:4.1f} : 정답 {:4.1f}'.
format(xstr, est[0], ans[0]))
elif self.name == 'pulsar':
for n in range(len(xs)):
x, est, ans = xs[n], estimates[n], answers[n]
xstr = mu.vector_to_str(x, '%5.1f', 3)
estr = self.target_names[int(round(est[0]))]
astr = self.target_names[int(round(ans[0]))]
rstr = 'O'
if estr != astr: rstr = 'X'
print('{} => 추정 {}(확률 {:4.2f}) : 정답 {} => {}'.format(xstr, estr, est[0], astr, rstr))
elif self.name == 'steel':
mu.show_select_results(estimates, answers, self.target_names)
elif self.name == 'pulsarselect':
mu.show_select_results(estimates, answers, self.target_names)
elif self.name == 'flower':
mu.draw_images_horz(xs, self.image_shape)
mu.show_select_results(estimates, answers, self.target_names)
elif self.name == 'office31':
# print(f"estimates{estimates}\n{answers}")
mu.draw_images_horz(xs, self.image_shape)
# print(f"estimates type {type(estimates)} shape {estimates.shape}")
ests, anss = np.hsplit(estimates, self.cnts), np.hsplit(answers, self.cnts)
captions = ['도메인', '상품']
# print(f"self.target_names,{len(self.target_names[0])},\n,{len(self.target_names[1])}")
for m in range(2):
print('[ {} 추정결과 ]'.format(captions[m]))
print(f"ests[{m}]{ests[m].shape}")
mu.show_select_results(ests[m], anss[m], self.target_names[m], 8)
def visualize(self, xs, estimates, answers):
mu.show_select_results(estimates, answers, self.target_names)
def visualize(self, xs, estimates, answers):
mu.draw_images_horz(xs, self.image_shape)
mu.show_select_results(estimates, answers, self.target_names)