Created on Fri Oct 20 16:06:09 2017
import matplotlib.pyplot as plt
from keras.layers.core import Activation, Dense
from keras.models import Sequential
from sklearn.cluster import KMeans
from sklearn.linear_model import LogisticRegression as LR
from sklearn.linear_model import RandomizedLogisticRegression as RLR
from sklearn.manifold import TSNE
from sklearn.metrics import confusion_matrix
from sklearn.tree import DecisionTreeClassifier as DTC
from sklearn.tree import export_graphviz
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
from statsmodels.stats.diagnostic import acorr_ljungbox
from statsmodels.tsa.arima_model import ARIMA
from statsmodels.tsa.stattools import adfuller as ADF
programmer_1-->使用随机森林算出有效特征,使用线性回归计算相关系数
programmer_2-->使用决策数模型,生成决策树过程并保存为do