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