def plot():
'''
画图
:return:
'''
dir = MCU_dir # 数据集保存路径
model = My_CNN(40, 17, 1000, dir) # 初始化模型
hist_path = dir + 'Adam_'
history = model.load_data(hist_path, 'history')
plt.figure()
plt.plot(history['acc'])
hist_path = dir + 'SGD_'
history = model.load_data(hist_path, 'history')
plt.plot(history['acc'])
hist_path = dir + 'Adadelta_'
history = model.load_data(hist_path, 'history')
plt.plot(history['acc'])
hist_path = dir + 'Adagrad_'
history = model.load_data(hist_path, 'history')
plt.plot(history['acc'])
plt.legend(['Adam', 'SGD', 'Adadelta', 'Adagrad'])
plt.show()
def write():
# 将二进制文件写为csv格式，方便之后用MATLAB画图
# MFPT
dir = MFPT_dir # 数据集保存路径
model = My_CNN(40, 16, 1000, dir) # 初始化模型
# LBCNN+Adam
hist_path = dir + 'Adam_'
history = model.load_data(hist_path, 'history')
filename = dir + 'Adam.csv'
csv_trans(history, filename)
# LBCNN+SGD
hist_path = dir + 'SGD_'
history = model.load_data(hist_path, 'history')
filename = dir + 'SGD.csv'
csv_trans(history, filename)
# LBCNN+Adagrad
hist_path = dir + 'Adagrad_'
history = model.load_data(hist_path, 'history')
filename = dir + 'Adagrad.csv'
csv_trans(history, filename)
# LBCNN+Adadelta
hist_path = dir + 'Adadelta_'
history = model.load_data(hist_path, 'history')
filename = dir + 'Adadelta.csv'
csv_trans(history, filename)
#LBCNN
hist_path = dir + 'LBCNN_'
history = model.load_data(hist_path, 'history')
filename = dir + 'LBCNN.csv'
csv_trans(history, filename)
# Lenet
hist_path = dir + 'Lenet_'
history = model.load_data(hist_path, 'history')
filename = dir + 'Lenet.csv'
csv_trans(history, filename)
# race
hist_path = dir + 'RLenet_'
history = model.load_data(hist_path, 'history')
filename = dir + 'RLenet.csv'
csv_trans(history, filename)
hist_path = dir + 'RLBCNN_'
history = model.load_data(hist_path, 'history')
filename = dir + 'RLBCNN.csv'
csv_trans(history, filename)
# MCU
dir = MCU_dir # 数据集保存路径
model = My_CNN(40, 17, 1000, dir) # 初始化模型
# LBCNN+Adam
hist_path = dir + 'Adam_'
history = model.load_data(hist_path, 'history')
filename = dir + 'Adam.csv'
csv_trans(history, filename)
# LBCNN+SGD
hist_path = dir + 'SGD_'
history = model.load_data(hist_path, 'history')
filename = dir + 'SGD.csv'
csv_trans(history, filename)
# LBCNN+Adagrad
hist_path = dir + 'Adagrad_'
history = model.load_data(hist_path, 'history')
filename = dir + 'Adagrad.csv'
csv_trans(history, filename)
# LBCNN+Adadelta
hist_path = dir + 'Adadelta_'
history = model.load_data(hist_path, 'history')
filename = dir + 'Adadelta.csv'
csv_trans(history, filename)
# LBCNN
hist_path = dir + 'LBCNN_'
history = model.load_data(hist_path, 'history')
filename = dir + 'LBCNN.csv'
csv_trans(history, filename)
# Lenet
hist_path = dir + 'Lenet_'
history = model.load_data(hist_path, 'history')
filename = dir + 'Lenet.csv'
csv_trans(history, filename)
# race
hist_path = dir + 'RLenet_'
history = model.load_data(hist_path, 'history')
filename = dir + 'RLenet.csv'
csv_trans(history, filename)
hist_path = dir + 'RLBCNN_'
history = model.load_data(hist_path, 'history')
filename = dir + 'RLBCNN.csv'
csv_trans(history, filename)