时间序列预测代码（线性模型）.txt

# Required Packages

import matplotlib.pyplot as plt

import numpy as np

import pandas as pd

from sklearn import datasets, linear_model

# Function to get data

def get_data(file_name):

data=pd.read_csv(file_name)

X_parameter=[]

Y_parameter=[]

for single_year, single_GDP_growth_rate in zip(data['year'], data['GDP_growth_rate']):

X_parameter.append([float(single_year)])

Y_parameter.append(float(single_GDP_growth_rate))

return X_parameter, Y_parameter

#Function for Fitting our data to Linear model