股票预测 LSTM 时间序列rnn 代码程序数据集.zip

源程序代码 详解 股票预测  LSTM 时间序列rnn 代码程序数据集下载压缩包

from pylab import *
from scipy import stats
import numpy as np
import matplotlib.pyplot as plt


class ClassificationPerformance:
    names = []
    errors = []

    def __init__（self）:
        self.count = 0

    def add（self name error_rates）:
        self.names.append（name）
        self.errors.append（error_rates）
        self.count += 1

    def compare（self）:
        for i in range（self.count）:
            for j in range（self.count）:
                if i < j:
                    tst pvalue = stats.ttest_ind（self.errors[i] self.errors[j]）
                    if pvalue < 0.05:
                        print（“{0} is significantly better than {1}“.format（self.names[i] self.names[j]））
                        print（“{0} avg err = {1} {2} avg err = {3}“.format（
                          

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     目录           0  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\
     文件        3081  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\README.md
     文件        3546  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\README_ORIGINAL.md
     文件        1400  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\classification_performance.py
     文件       20668  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\index.html
     文件        6531  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\main.py
     文件        4155  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\nn.py
     文件       13281  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\nyse.py
     文件        4874  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\perceptron.py
     文件        1799  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\plotting.py
     文件     1175512  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\project.pdf
     文件        2140  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\rnn.py
     文件        1853  2016-11-29 23:37  stock-predict-by-RNN-LSTM-master\test.py