from __future__ import print_function import sys sys.path.append("/content/drive/My Drive/learn/ML-From-Scratch/") import matplotlib.pyplot as plt import numpy as np import pandas as pd # Import helper functions from mlfromscratch.supervised_learning import LassoRegression from mlfromscratch....
接下来是实现代码,代码来源: https://github.com/eriklindernoren/ML-From-Scratch 首先还是定义一个基类,各种线性回归都需要继承该基类: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 class Regression(object): """ Base regression model. Models the relationship between a scalar dependent variable y ...
接下来是实现代码,代码来源:https:///eriklindernoren/ML-From-Scratch 首先还是定义一个基类,各种线性回归都需要继承该基类: class Regression(object): """ Base regression model. Models the relationship between a scalar dependent variable y and the independent variables X. Parameters: --- n_iterations:...
import matplotlib.pyplot as plt import numpy as np import pandas as pd # Import helper functions from mlfromscratch.supervised_learning import LassoRegression from mlfromscratch.utils import k_fold_cross_validation_sets, normalize, mean_squared_error from mlfromscratch.utils import train_test_split,...
https://tangshusen.me/Dive-into-DL-PyTorch/#/chapter03_DL-basics/3.2_linear-regression-scratch 第一步,导入实验需要的包或模块 %matplotlib inline import torch from IPython import display from matplotlib import pyplot as plt import numpy as np ...
The scikit-learn Python machine learning library provides an implementation of the Lasso penalized regression algorithm via the Lasso class.Confusingly, the lambda term can be configured via the “alpha” argument when defining the class. The default value is 1.0 or a full penalty.1 2 3 ......