weixin_42339449的博客

Part One : Coordinate Descent for LassoThe Lasso optimization problem can be formulated asw^∈argminw∈Rd∑i=1m(hw(xi)−yi)2+λ∥w∥1,\hat{w}\in{ argmin_{w\in R^{d}}\sum_{i=1}^{m}(h_{w}(x_{i})-y_{i})^{2}+...

Part One : Basis for Nonlinear RegressionIn this part we’re going to investigate how to use linear regression to approximate and estimate complicated functions. For example, suppose we want to fit th...

import numpy as npimport pandas as pdimport matplotlib.pyplot as pltImport other modules from sklearn import linear_modelfrom sklearn.metrics import mean_squared_errorfrom sklearn.metrics impor...

import numpy as np一、随机数构造np.random.rand(3,2)array([[0.6372113 , 0.27436914], [0.91140569, 0.95159513], [0.86491427, 0.58310291]])np.random.randint(10,size =(5,4))array([[3, 8, 1...

import numpy as np一、向量相乘x = np.array([5,5])y = np.array([2,2])1、对应位置相乘np.multiply(x,y)array([10, 10])2、向量内积np.dot(x,y)203、矩阵相乘x.shape = 1,2y.shape = 2,1np.dot(x,y)array([[20]])...

import numpy as npnp.array([1,2,3])array([1, 2, 3])一、Arange结构np.arange(10)array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])np.arange(2,20,2)array([ 2, 4, 6, 8, 10, 12, 14, 16, 18])从哪个数开始+到哪个数截止+...

import numpy as npa_array = np.arange(10)a_arrayarray([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])一、数组结构改变a_array.shape(10,)a_array.shape = 2,5a_arrayarray([[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]...

一、简单排序import numpy as npa_array = np.array([[1.5,1.3,7.5], [5.6,7.8,1.2]])a_arrayarray([[1.5, 1.3, 7.5], [5.6, 7.8, 1.2]])按行排序np.sort(a_array)array([[1.3, 1.5, 7.5]...

首先导入Nunpyimport numpy as np一、数组基础操作数组内元素加法array =np.array([1,2,3,4,5])print(type(array))<class 'numpy.ndarray'>array += 1arrayarray([2, 3, 4, 5, 6])array2 = array +1array2array...