def tag_LFM(self):
from tag_LFM import RLTMF
tk.messagebox.showinfo('提示', message='已选择算法1进行训练！')
self.show_info = tk.Toplevel(self.window_train, bg='pink')
self.show_info.geometry('300x250')
self.show_info.title('训 练')
text = get_text(self.show_info, 100, 10, (200, 200))
text.insert('insert', ' 算法1 训练信息\n')
text.update()
text.pack()
model = RLTMF(2, 2)
model.InitList_movielens('jester_ratings.csv')
x = []
y = []
for epoch_info in model.fit():
if not isinstance(epoch_info, tuple):
text.insert('insert', epoch_info)
break
x.append(epoch_info[0])
y.append(epoch_info[1])
text.insert('insert', " %3d epoch :MAE is %f\n" % epoch_info)
text.update()
model.setEvalPara(10)
cover = model.Coverage()
pre_rec = model.PrecisionRecall()
diver = model.Diversity()
tk.messagebox.showinfo('模型性能评测', cover+pre_rec+diver)
plt.plot(x,y)
plt.savefig('train.jpg')
self.plot_train()
def coldstart(self):
from cold_net import Data_coldStart, cold_model
tk.messagebox.showinfo('提示', message='已选择算法3进行训练！')
self.show_info = tk.Toplevel(self.window_train, bg='pink')
self.show_info.geometry('300x250')
self.show_info.title('训 练')
text = get_text(self.show_info, 100, 10, (200, 200))
text.insert('insert', ' 算法2 训练信息\n')
text.update()
text.pack()
datapath = r'C:\Users\Darkn\python\recommender\hetrec2011-movielens-2k-v2'
dim = 10
data = Data_coldStart()
data.get_actor(datapath + r'\movie_actors.dat', weight=20)
data.get_country(datapath + r'\movie_countries.dat')
data.get_director(datapath + r'\movie_directors.dat')
data.get_genres(datapath + r'\movie_genres.dat', weight=30)
# data.get_data(DATAPATH + r'\user_ratedmovies.dat')
data.read_data()
actor_num, country_num, director_num, genre_num = data.size()
CM = cold_model(actor_num, country_num, director_num, genre_num, data.train.users, dim)
for epoch_info in CM.fit(30, data):
text.insert('insert', " %3d epoch :MAE is %f\n" % epoch_info)
text.update()
self.plot_train()
def push_top_N(self):
user = self.entry_user_name.get()
top_n = self.recommend_n.get()
try:
top_n = int(top_n)
except BaseException:
tk.messagebox.showinfo('错误', message='输入列表长度必须是数字格式!')
return
if top_n > 100:
tk.messagebox.showinfo('错误', message='推荐列表长度设置过大!')
return
self.model.setEvalPara(int(top_n))
# if not self.flag:
# self.text.pack_forget()
rec_list = self.model.TopN(user, choice="RATING")
if rec_list is None:
tk.messagebox.showinfo('错误', message='系统中没有该用户id，请查看【所有用户】!')
return
push_win = tk.Toplevel(self.mix_recommend, bg='pink')
push_win.geometry('200x400')
push_win.title('所有用户')
text = get_text(push_win, 200, 100, (200, 400))
text.insert('insert', '%s %s %s\n' % ('行号', '物品id', '预测评分'))
text.insert(
'insert', '\n'.join([
'%3d %7s %.3f' % (i, item, rating)
for i, (item, rating) in enumerate(rec_list)
]))
def prob_FM(self):
from prob_lfm import BLFM
tk.messagebox.showinfo('提示', message='已选择算法2进行训练！')
self.show_info = tk.Toplevel(self.window_train, bg='pink')
self.show_info.geometry('300x250')
self.show_info.title('训 练')
text = get_text(self.show_info, 100, 10, (200, 200))
text.insert('insert', ' 算法2 训练信息\n')
text.update()
text.pack()
model = BLFM('jester_ratings.csv', 25)
for epoch_info in model.fit():
text.insert('insert', " %3d epoch :MAE is %f\n" % epoch_info)
text.update()
self.plot_train()
def show_users(self):
self.all_user = tk.Toplevel(self.mix_recommend, bg='pink')
self.all_user.geometry('600x600')
self.all_user.title('所有用户')
self.text = get_text(self.all_user, 200, 100, (200, 200))
self.text.insert('insert', ' 用户列表\n')
self.text.update()
self.text.pack()
num_users = len(self.users)
for index in range(0, num_users, 10):
self.text.insert(
'insert', ' '.join(
['%6s' % user
for user in self.users[index:index + 8]]) + '\n')
self.text.update()
def scrap_website(address):
"""
Scrap text and images from website
:param address: website address example: https://www.youtube.com/
:return: true value if done
"""
web_text = get_text(address) # scrap text
web_images_l = get_images_links(address) # scrap images
web_images_b = get_images_bytes(web_images_l) # images into bytes
row = {}
row['Address']=address
row['Text']=web_text
row['Images']=web_images_b
row['Images_links']=web_images_l
# add resource to database
if data_add_resource(row) is True: #and images in the future
return True
else:
return False
from jam_picamera import JamPiCamera
from auth import CON_KEY, CON_SEC, ACC_TOK, ACC_SEC
from text import get_text
from gpiozero import Button
from twython import Twython
from time import sleep
import logging
logger = logging.getLogger('photobooth')
logging.basicConfig(level=logging.INFO)
logger.info("starting")
text = get_text(language='en')
camera = JamPiCamera()
button = Button(14, hold_time=5)
if CON_KEY:
twitter = Twython(CON_KEY, CON_SEC, ACC_TOK, ACC_SEC)
else:
twitter = None
camera.resolution = (1024, 768)
camera.start_preview()
camera.annotate_text_size = 70
def quit():
logger.info("quitting")
camera.close()
from jam_picamera import JamPiCamera
from text import get_text
from gpiozero import Button
from time import sleep
import logging
import subprocess
import glob
import os
logger = logging.getLogger('photobooth')
logging.basicConfig(level=logging.INFO)
logger.info("starting")
text = get_text(language='fr')
photo_path = "/home/pi/Pictures"
default_photo = os.path.join(os.path.dirname(__file__), "default_photo.jpg")
slideshow_delay = 4
slideshow_base = ["fbi", "-a", "--noverbose"]
camera = JamPiCamera()
button = Button(14, hold_time=5)
camera.resolution = (1024, 768)
camera.annotate_text_size = 70
#leave the script
def quit():
logger.info("quitting")
camera.close()
if event.key == pygame.K_d:
player.right_moving = False
if event.key == pygame.K_a:
player.left_moving = False
else:
if event.type == pygame.MOUSEBUTTONDOWN:
if event.button == 1:
start_button.check_input_button(event.pos, click=True)
if event.type == pygame.MOUSEBUTTONUP:
if event.button == 1 and start_button.check_input_button(event.pos, click=True):
start_game = True
if start_game is False:
# Отрисовка кнопки
start_button.draw_button()
name_game_text = get_text(path_font, 40, COLOR_NAME_GAME_TEXT, 'GameJam First')
surface.blit(name_game_text, (w // 2 - name_game_text.get_width() // 2, name_game_text.get_height()))
if start_game:
# Отрисовка рекорда
score_text = get_text(path_font, 15, COLOR_SCORE, f'score {score}')
surface.blit(score_text, (w - score_text.get_width() - 10, score_text.get_height()))
scroll[0] += (player_rect.x - scroll[0] - 300) / 10
scroll[1] += (player_rect.y - scroll[1] - 400) / 10
if player_rect.y > h:
player.game_over = True
player_movement = [0, 0]
if player.right_moving:
