# first_noise = 10
#非异常点每一类的排序，key类别号
res_get_s = {}
for key in res:
temp_dense = []
for l in res[key]:
temp_dense.append(dense_output[l])
temp_dense = np.array(temp_dense)
temp_label = np.full((len(temp_dense)), key)
mmd_res, _ = run(temp_dense,
temp_label,
gamma=0.026,
m=min(len(temp_dense), 180),
k=0,
ktype=0,
outfig=None,
critoutfig=None,
testfile=os.path.join(basedir, 'data/a.txt'))
res_get_s[key] = mmd_res
#将结果保存到excel
workbook = openpyxl.Workbook()
sheet = workbook.active
row_num = 5
for a_unoise in arange(0.8, 0.9, 0.1):
print(a_unoise)
dss = get_std1(X_test=X_test,
Y_test=Y_test,
# # first_noise = 10
#
# #非异常点每一类的排序，key类别号
# res_get_s = {}
# for key in res:
# temp_dense = []
# for l in res[key]:
# temp_dense.append(dense_output[l])
# temp_dense = np.array(temp_dense)
# temp_label = np.full((len(temp_dense)), key)
mmd_res, _ = run(dense_output,
Y_test,
gamma=0.026,
m=min(len(dense_output), 180),
k=0,
ktype=0,
outfig=None,
critoutfig=None,
testfile=os.path.join(basedir, 'data/a.txt'))
# res_get_s[key] = mmd_res
print(mmd_res)
#将结果保存到excel
workbook = openpyxl.Workbook()
sheet = workbook.active
row_num = 5
for a_unoise in arange(0.8, 0.9, 0.1):
print(a_unoise)
dss = get_std1(X_test=X_test,