from Layer.MultiClassNetWork import *
#외부 프레임워크
import tensorflow as tf
from sklearn.model_selection import train_test_split
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, SimpleRNN, LSTM
from tensorflow.keras.preprocessing import sequence
#TensorFlow model 이용, CNN
from tensorflow.keras import layers
from tensorflow.keras.layers import Dense
import sys
import matplotlib.pyplot as plt

util = Util()

df = util.get_file(
    "C:/Users/sunng/PycharmProjects/South_Sea_SST_ML/Raw_data.csv")

#print(df)

#print(df.keys())

###########################################################################
#Index(['YEAR', 'MONTH', 'KS_SST', 'EQ_SOI', 'UWND', 'SouthSea',
#       'PAC_IND_SST_DIFF', 'EAST_PACIFIC', 'INDIA', 'KS_Anomaly', 'SouthSEA',
#       'EastSea'],
#      dtype='object')
#YEAR 연도
#MONTH 월
# KS_SST 대한해협 수온
# EQ_SOI 인도양과 동태평양의 기압차이
# UWND 동서방향 바람의 세기
#사용자 정의 클래스
from Util.Util import Util
from Layer.MultiClassNetWork import *

#외부 프레임워크
import tensorflow as tf
from sklearn.model_selection import train_test_split
import numpy as np
import matplotlib.pyplot as plt

import sys

util = Util()

df = util.get_file(Path+"/Raw_data.csv")

#print(df)

#print(df.keys())


###########################################################################
#Index(['YEAR', 'MONTH', 'KS_SST', 'EQ_SOI', 'UWND', 'SouthSea',
#       'PAC_IND_SST_DIFF', 'EAST_PACIFIC', 'INDIA', 'KS_Anomaly', 'SouthSEA',
#       'EastSea'],
#      dtype='object')
#YEAR 연도
#MONTH 월
# KS_SST 대한해협 수온
# EQ_SOI 인도양과 동태평양의 기압차이
# UWND 동서방향 바람의 세기