print(10 * '-' + ' Root Path: {}'.format(root_path))
import sys
sys.path.append(root_path + '/tools/')
from build_lstm import my_lstm
lev = 3
# for k in range(1,lev+1):
for i in [8, 16, 24, 32]:
for j in [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
]:
my_lstm(
path=root_path + '\\test_test',
lev=lev,
pattern='one_model_3_ahead_forecast_pacf',
LR=0.07,
HU1=i,
DR1=j,
MODEL_ID=None,
)
# path=root_path+'/zjs_eemd/',
# lev=lev,
# pattern='multi_models_1_ahead_hindcast',
# HU1=i,
# DR1=j,
# MODEL_ID=k,
# )
for lead in [1, 3, 5, 7]:
for i in [8, 16, 24, 32]:
for j in [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
]:
my_lstm(
path=root_path + '/zjs_eemd/',
lev=lev,
pattern='one_model_' + str(lead) + '_ahead_hindcast_pacf_mis',
HU1=i,
DR1=j,
MODEL_ID=None,
)
# lev=lev,
# pattern='one_model_'+str(lead)+'_ahead_forecast_pacf',
# HU1=i,
# DR1=j,
# MODEL_ID=None,
# wavelet=wavelet,
# )
for lead in [1, 3, 5, 7]:
for i in [8, 16, 24, 32]:
for j in [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
]:
my_lstm(
path=root_path + '/yx_wd/',
lev=3,
pattern='one_model_' + str(lead) + '_ahead_hindcast_pacf_mis',
HU1=i,
DR1=j,
MODEL_ID=None,
wavelet='db45',
)
# root_path = os.path.abspath(os.path.join(root_path, os.path.pardir))
print(10 * '-' + ' Root Path: {}'.format(root_path))
import sys
sys.path.append(root_path + '/tools/')
from build_lstm import my_lstm
for lr in [0.0001, 0.0003, 0.0007, 0.001, 0.003, 0.007, 0.01, 0.03, 0.07, 0.1]:
my_lstm(
path=root_path + '\\zjs_vmd\\',
lev=11,
pattern='learning_rate_tuning_nmse',
EPS=500,
# HL=1,
HU1=8,
DR1=0.0,
# HU2=hu2,
# DR2=dr2,
LR=lr, #0.0001,0.0003,0.0007,0.001,0.003,0.007,0.01,0.03,0.07,0.1
MODEL_ID=1,
EARLY_STOPING=False,
loss='custom_loss',
)
# for hu1 in [8,16,24,32]:
# for hu2 in [8,16,24,32]:
# for dr1 in [0.0,0.1,0.2,0.3,0.4,0.5,]:
# for dr2 in [0.0,0.1,0.2,0.3,0.4,0.5,]:
# my_lstm(
# path=root_path+'\\zjs_vmd\\',
# lev=11,
root_path = os.path.dirname(os.path.abspath('__file__'))
# root_path = os.path.abspath(os.path.join(root_path, os.path.pardir))
# root_path = os.path.abspath(os.path.join(root_path, os.path.pardir))
print(10 * '-' + ' Root Path: {}'.format(root_path))
import sys
sys.path.append(root_path + '/tools/')
from build_lstm import my_lstm
for leading_time in [1, 3, 5, 7]:
for i in [8, 16, 24, 32]:
for j in [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
]:
my_lstm(
path=root_path + '/yx_orig/',
pattern=str(leading_time) + '_ahead',
HU1=i,
DR1=j,
MODEL_ID=None,
)
# pattern='multi_models_'+str(lead)+'_ahead_hindcast_pacf',
# HU1=i,
# DR1=j,
# # LR=0.01,
# MODEL_ID=k,
# )
for lead in [1, 3, 5, 7]:
for i in [8, 16, 24, 32]:
for j in [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
]:
my_lstm(
path=root_path + '\\yx_vmd\\',
lev=lev,
pattern='one_model_' + str(lead) + '_ahead_forecast_pacf',
HU1=i,
DR1=j,
LR=0.01,
MODEL_ID=None,
)