The *args and **kwargs is an approach to pass multiple arguments to a Python function. They allow to pass a variable number of arguments to a function. However, please note it is not necessary to name the variables as *args or **kwargs only. Only the * is important. We could also...
我在六月份写了一篇关于GPT函数调用(Function calling)的博客,其中介绍了函数调用的方法,但之前的函数调用,在一轮对话中只能调用一个函数。就在上周,OpenAI在开发者大会上,升级了函数调用的功能,在新的gpt-3.5和gpt-4模型中,可以在单次对话中调用多个函数了,而且在python SDK中也提供了并发函数调用相关的...
defgradientDescent(X,y,theta,alpha,num_iters):m=y.shape[0]#print(m)# 存储历史误差 J_history=np.zeros((num_iters,1))foriterinrange(num_iters):# 对J求导,得到 alpha/m*(WX-Y)*x(i),(3,m)*(m,1)X(m,3)*(3,1)=(m,1)theta=theta-(alpha/m)*(X.T.dot(X.dot(theta)-y))J...
Like other programming languages, In python also, we can define andprint the multiple variables. Here, we see how can we print the single and multiple variables using theprint() function? Printing single variable In Python, single variable can be printed like this, print(variable) Example # P...
2 Python函数式编程 2.1 map() 2.2 filter() 2.3 filter() 1 函数式编程 所谓函数式编程,是指代码中每一块都是不可变的(immutable),都由纯函数(pure function)的形式组成。这里的纯函数,是指函数本身相互独立、互不影响,对于相同的输入,总会有相同的输出,没有任何副作用。
bulk update proxy address, they are in one line button.Add_Click problem C# - How to execute multiple Powershell commands one after the other Calculating total size of objects in a directory, grouped by extension Call a batch file with parameters passed to it Call function with parameters invo...
Fast multiple dispatch in Python, with many extra features. 📋 Documentation With ovld, you can write a version of the same function for every type signature using annotations instead of writing an awkward sequence of isinstance statements. Unlike Python's singledispatch, it works for multiple ar...
Developing a Function Overview Node.js Java Python Custom Runtime Testing a Function Testing a Function in AppGallery Connect Testing a Function Using Command Lines Calling a Function Obtaining SDK Configurations Configuring iOS App Information Integrating SDKs Calling ...
我们定义 \boldsymbol{f(x)}=[f_1\boldsymbol{(x)}\ f_2\boldsymbol{(x)}]^\top (文献中往往称作 vector-valued function)和 \boldsymbol{a}=[a^1_1\ a^1_2]^\top ,那么我们可以得到: \begin{align}\nonumber &\operatorname{cov}(\boldsymbol{f(x)},\boldsymbol{f(x')})\\ =&\mathb...
梯度下降 线性回归的python代码 # -*- coding=utf8 -*- import math; def sum_of_gradient(x, y, thetas): """计算梯度向量,参数分别是x和y轴点坐标数据以及方程参数""" m = len(x); grad0 = 1.0 / m * sum([(thetas[0] + thetas[1] * x[i] - y[i]) for i in range(m)]) gra...