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/Python實現線性回歸
我看了一點，但是不是很明白
2018-04-08
源自：Python實現線性回歸 1-1
正在回答
import numpy as np?
from numpy.linalg import inv
from numpy import dot
from numpy import mat
import pandas as pd?
dataset = pd.read_csv('data.csv')
print(dataset)
temp = dataset.iloc[:,2:5] #iloc :對數組進行切片
# X = mat([1,2,3]).reshape(3,1)
# Y = 2*X
# # theta = (X'X)^-1X'Y
# #theta = dot(dot(inv(dot(X.T,X)), X.T),T)
# #theta = theta - alpha*(theta*X-Y)*X
# theta = 1.
# alpha = 0.1
# for i in range(100):
# theta = theta + np.sum(alpha *(Y - dot(X,theta))*X.reshape(1,3))/3.#加權平均
# print(theta
舉報
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2018-04-08
import numpy as np?
from numpy.linalg import inv
from numpy import dot
from numpy import mat
import pandas as pd?
dataset = pd.read_csv('data.csv')
print(dataset)
temp = dataset.iloc[:,2:5] #iloc :對數組進行切片
# X = mat([1,2,3]).reshape(3,1)
# Y = 2*X
# # theta = (X'X)^-1X'Y
# #theta = dot(dot(inv(dot(X.T,X)), X.T),T)
# #theta = theta - alpha*(theta*X-Y)*X
# theta = 1.
# alpha = 0.1
# for i in range(100):
# theta = theta + np.sum(alpha *(Y - dot(X,theta))*X.reshape(1,3))/3.#加權平均
# print(theta