fn

看了都知道继承也就那么回事儿

笑着哭i 提交于 2019-12-03 09:12:57
本文转载于: 猿2048 网站➥ https://www.mk2048.com/blog/blog.php?id=hc20j222kj 前言 各位大佬们都来了就花点时间看看吧 看了之后来个小心心吧 不然没有动力继续写下去呀 哈哈 开始 预备知识 原型链知识 ---话不多说先上图,一图胜千言 现在来写一个基本的函数实例来解释这幅图 function Test () { this.name = 'test'; } var fn = new Test; console.log(fn.name); //我们称Test为构造函数 fn为构造函数Test的实例 //Test的prototype(原型)和实例的__proto__(原型)都指向了原型同一个原型对象 //原型对象的constructor指向了构造函数 Object.create 再来一张图片很清晰的解释它的作用 下面开始玩转继承 第一类 最简单的继承---原型继承 // 原型继承 function A() { this.x = 'test'; } A.prototype.getX = function () { console.log(this.x); }; function B() { this.y = 'test2'; } B.prototype = new A; var fn = new B; console.log(fn.x

Loading pre-trained word2vec to initialise embedding_lookup in the Estimator model_fn

匿名 (未验证) 提交于 2019-12-03 08:54:24
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am solving a text classification problem. I defined my classifier using the Estimator class with my own model_fn . I would like to use Google's pre-trained word2vec embedding as initial values and then further optimise it for the task at hand. I saw this post: Using a pre-trained word embedding (word2vec or Glove) in TensorFlow which explains how to go about it in 'raw' TensorFlow code. However, I would really like to use the Estimator class. As an extension, I would like to then train this code on Cloud ML Engine, is there a good way of

How to deal with ellipsis (…) in the presence of optional arguments?

匿名 (未验证) 提交于 2019-12-03 08:48:34
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I have a problem with ellipsis when I use optional arguments in my function definition. To clarify, I define following functions: func1 <- function (x) (x-2)^2 func3 <- function (fun, arg.curve.user){ arg.curve.user$expr <- substitute(func1) arg.curve.default <- list(col = "blue", n = 1000, main = "This is a test") arg.curve <- modifyList (arg.curve.default, arg.curve.user) do.call("curve", arg.curve) } # optimizes func1 and call func2 to plot func1 func2 <- function (lb, ub, n.restarts = 5, n.sim = 10, ...){ arg.curve.user <- as.list

TypeError: undefined is not a function in nodejs

匿名 (未验证) 提交于 2019-12-03 08:46:08
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: This is my users.js model. var mongoose = require('mongoose') , crypto = require('crypto') , mongoTypes = require('mongoose-types'); mongoTypes.loadTypes(mongoose, 'email'); mongoose.connect('mongodb://localhost/popbroker'); function hash1 (msg, key) { return crypto.createHmac('sha256', key).update(msg).digest('hex'); }; function required(val) { return val && val.length; } var Schema = mongoose.Schema , ObjectId = Schema.ObjectId; var UserSchema = new Schema({ username: { type: String, validate: [required,"Username is required"], index:

R: passing expression to an inner function

匿名 (未验证) 提交于 2019-12-03 08:35:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: Further delving into the mysteries of R evaluation...This is closely related to my previous question ( How to write an R function that evaluates an expression within a data-frame ). Let's say I want to write a function topfn that takes a data-frame and an expression involving column-names of that data-frame. I want to pass both these arguments on to another function fn that actually evaluates the expression within the "environment" of the data-frame. And I want both fn and topfn to work correctly when passed a data-frame and an expression My

RDS with Cloud Formation and AZ issues

匿名 (未验证) 提交于 2019-12-03 08:35:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am using cloud formation to create a setup containing an RDS instance. I am having some difficulties creating the RDS Instance on the account of the following error: DB Subnet Group doesn't meet availability zone coverage requirement. Please add subnets to cover at least 2 availability zones. Current coverage: 1 The problem is that the entire setup is on a single AZ... what am i supposed to do? just create an extra subnet in a different AZ that has nothing in it just for the RDS? Maybe there is some way AWS can create that subnet

Function signature of Tap (K-combinator)

匿名 (未验证) 提交于 2019-12-03 08:28:06
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I've read in a book that the function signature of tap function (also called K-Combinator) is below: tap :: ( a -> *) -> a -> a "This function takes an input object a and a function that performs some action on a. It runs the given function with the supplied object and then returns the object." Can someone help me to explain what is the meaning of star (*) in the function signature? Are below implementation correct? If all the three implementation are correct, which one should be used when? Any examples? Implementation 1: const tap

gulp源码分析

試著忘記壹切 提交于 2019-12-03 07:29:55
一.整体结构分析 整体结构 通过在nodejs环境对源码的打印,我们最终得到的gulp实例行如下图。那么我们gulp实例上的属性和方法是如何生成的呢? Gulp { domain: null, _events: [Object: null prototype] {}, _eventsCount: 0, _maxListeners: undefined, _registry: DefaultRegistry { _tasks: {} }, _settle: false, watch: [Function: bound ], task: [Function: bound task], series: [Function: bound series], parallel: [Function: bound parallel], registry: [Function: bound registry], tree: [Function: bound tree], lastRun: [Function: bound lastRun], src: [Function: bound src], dest: [Function: bound dest], symlink: [Function: bound symlink] } (1)类的实现 源码index.js分为三个部分

ES5中的this

你说的曾经没有我的故事 提交于 2019-12-03 07:20:18
参考资料: >>> this的指向 在 ES5 中,其实 this 的指向,始终坚持一个原理: this 永远指向最后调用它的那个对象 下面我们来看一个最简单的例子:(例子均来自参考资料中的经典例子) 例 1: var name = "windowsName"; function a() { var name = "Cherry"; console.log(this.name); // windowsName console.log("inner:" + this); // inner: Window } a(); console.log("outer:" + this) // outer: Window 这个相信大家都知道为什么 log 的是 windowsName,因为根据刚刚的那句话“ this 永远指向最后调用它的那个对象 ”,我们看最后调用 a 的地方 a(); ,前面没有调用的对象那么就是全局对象 window,这就相当于是 window.a() ; 注意,这里我们没有使用严格模式,如果使用严格模式的话,全局对象就是 undefined ,那么就会报错 Uncaught TypeError: Cannot read property 'name' of undefined 。 例 2: var name = "windowsName"; var a = { name:

TP、FP、FN、TN的含义

早过忘川 提交于 2019-12-03 05:25:57
true positive(被正确分类的正例) false negative(本来是正例,错分为负例) true negative(被正确分类的负例) false positive(本来是负例,被错分为整理) 记忆方法,前边T\F是分类正确或者错误,后面的P\N是结果被分成是正例或负例 对于一个分类器而言,precision和recall往往是此消彼长的。 Precision-recall曲线反映了分类器对正例的识别准确程度和对正例的覆盖能力之间的权衡 AP计算: 对于连续的PR曲线,有: 对于离散的PR曲线,有: 来源: https://www.cnblogs.com/ywheunji/p/11779456.html