predictive_analysis.py

import os
import pandas as pd
import numpy as np
from Fourier.Fourier import fourierExtrapolation
import pylab as pl

print('\n***********************************\n')
print('Predictive Analysis: Standard Linear Regression\n')
def LR():
    os.chdir('LinearRegression')
    exec(open("LR.py").read())
LR()
print('\n***********************************\n')

print('Predictive Analysis: Fourier Extrapolation\n')
def Fourier():
    os.chdir('../Fourier')
    exec(open("Fourier.py").read())
Fourier()
print('\n***********************************\n')

print('Predictive Analysis: Wavelet Extrapolation\n')
def Wavelet():
    os.chdir('../Wavelet')
    exec(open("Wavelet.py").read())
Wavelet()
print('\n***********************************\n')

# print('Predictive Analysis: Chaotic System\n')
# def Chaotic():
#     os.chdir('../Chaotic')
#     exec(open("Chaotic.py").read())
# Chaotic()
# print('\n***********************************\n')

print('Predictive Analysis: Neural Network - Linear Regression\n')
def NeuralNetLR():
    os.chdir('../NeuralNetRegression')
    exec(open("LR.py").read())
NeuralNetLR()
print('\n***********************************\n')

# print('Predictive Analysis: Neural Network - Fourier based\n')
# def DeeperNN():
#     os.chdir('../DeeperNN/Fourier')
#     exec(open("NN.py").read())
# DeeperNN()
# print('\n***********************************\n')

# print('Predictive Analysis: Neural Network - Wavelet based\n')
# def DeeperNN():
#     os.chdir('../DeeperNN/Wavelet')
#     exec(open("NN.py").read())
# DeeperNN()
# print('\n***********************************\n')

# print('Predictive Analysis: Neural Network - FitzHugh–Nagumo based\n')
# def DeeperNN():
#     os.chdir('../DeeperNN/Fitz-Nag')
#     exec(open("NN.py").read())
# DeeperNN()
# print('\n***********************************\n')