You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.
import numpy as np
from util . features import prepare_for_training
class LinearRegression :
def __init__ ( self , data , labels , polynomial_degree = 0 , sinusoid_degree = 0 , normalize_data = True ) :
""" ：
1.对数据进行预处理操作
2.先得到所有的特征个数
3.初始化参数矩阵
data:数据
polynomial_degree: 是否做额外变换
sinusoid_degree: 是否做额外变换
normalize_data: 是否标准化数据
:return
"""
( data_processed ,
features_mean ,
features_deviation ) = prepare_for_training . prepare_for_training ( data , polynomial_degree , sinusoid_degree ,
normalize_data )
self . data = data_processed
self . labels = labels
self . features_mean = features_mean
self . features_deviation = features_deviation
self . polynomial_degree = polynomial_degree
self . sinusoid_degree = sinusoid_degree
self . normalize_data = normalize_data
