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  • distinct(batch)

    Description Parameters Script Example Code Result Description Remove duplicated records. Parameters Name Description Type Required? Default Value Scri...
  • distinct(batch)

    Description Parameters Script Example Code Result Description Remove duplicated records. Parameters Name Description Type Required? Default Value Scri...
  • Using middleware

    Using middleware Using middleware package main import ( "github.com/kataras/iris/v12" "github.com/kataras/iris/v12/middleware/recover" ) func main ...
  • Template rendering

    Template rendering Template rendering Iris supports 8 template engines out-of-the-box, developers can still use any external golang template engine, as Context.ResponseWriter()...
  • Query and post form parameters

    Query and post form parameters Query and post form parameters POST / post ? id = a & id = b & id = c & name = john & name = doe & name = kataras Content - Type : appli...
  • Another example: query + post form

    Another example: query + post form Another example: query + post form POST / post ? id = 1234 & page = 1 HTTP / 1.1 Content - Type : application / x - www - form - urlenco...
  • Using Basic Authentication

    Using Basic Authentication Using Basic Authentication HTTP Basic Authentication is the simplest technique for enforcing access controls to web resources because it does not req...
  • 功能特性

    2651 2019-07-02 《Go Iris中文文档》
    Iris 框架的特性 Iris 框架的特性 专注于高性能 简单流畅的API 高扩展性 强大的路由和中间件生态系统 使用iris独特的表达主义路径解释器构建RESTful API 动态路径参数化或通配符路由与静态路由不冲突 使用重定向选项从URL中删除尾部斜杠 使用虚拟主机和子域名变得容易 分组API和静态或甚至动态子域名 net / http...
  • Machine Learning

    Machine Learning SciPy Stack Installation scikit-learn Installation Example Machine Learning Python has a vast number of libraries for data analysis, statistics, and Machi...
  • 决策树的训练和可视化

    决策树的训练和可视化 为了理解决策树,我们需要先构建一个决策树并亲身体验它到底如何进行预测。 接下来的代码就是在我们熟知的鸢尾花数据集上进行一个决策树分类器的训练。 from sklearn . datasets import load_iris from sklearn . tree import DecisionTreeClas...