#
import zsys
import ztools as zt
import ztools_str as zstr
import ztools_web as zweb
import ztools_data as zdat
import zpd_talib as zta
import ztop_ai as zai
#-----------------------
#1
fsr0 = 'dat/ccpp_'
print('#1', fsr0)
xlst, ysgn = ['AT', 'V', 'AP', 'RH'], 'PE'
x_train, x_test, y_train, y_test = zai.ai_dat_rd(fsr0)
funSgn, ftg = 'svm', 'tmp/ccpp_svm.pkl'
#2
print('\n#2,mx_svm.wr')
tim0 = arrow.now()
zai.ai_f_mxWr(ftg, funSgn, x_train, y_train)
tn = zt.timNSec('', tim0, True)
#3
tim0 = arrow.now()
print('\n#3,mx_svm.rd')
mx = joblib.load(ftg)
tn = zt.timNSec('', tim0, True)
#4
print('\n#4,mx_svm')
from sklearn import metrics
from sklearn.model_selection import cross_val_predict
#
import zsys
import ztools as zt
import ztools_str as zstr
import ztools_web as zweb
import ztools_data as zdat
import ztop_ai as zai
import zpd_talib as zta
#
#-----------------------
#1
fsr0 = 'dat/ccpp_'
print('#2,', fsr0)
#2
k0 = 1
print('\n#2,k0', k0)
x_train, x_test, y_train, y_test = zai.ai_dat_rd(fsr0, k0, True)
#3
k0 = 10
print('\n#3,k0', k0)
x_train, x_test, y_train, y_test = zai.ai_dat_rd(fsr0, k0, True)
#-----------------------
print('\nok!')