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kaggle's Introduction

Kaggle

This is the codes I write to participate the Kagge competition

  1. benz

This is the first competition I take it seriously, I write my complete auto hyperparameter tunning codes for this tasks,and also implement the stacking methods.

  1. MNIST
  2. Titanic

kaggle methods

dm_methods

包含了在数据挖掘中常用的算法,将交叉验证等过程封装起来,只需要传入训练数据就可以返回交叉验证后的模型。

  • xgboost
  • lightgbm
  • ridge
  • logistic regression
  • randomforest
  • naive bayes

一些特性:

  • 可以画出训练和验证集的性能随着参数的变化曲线
  • 交叉验证过程对用户透明,使用简单
  • 所有方法具有相同的接口函数,这意味着可以通过传入函数名的字符串调用相应的函数,类似于工厂模式?
  • sklearn内置的函数继承同一父类
  • xgboost、lightgbm回归和分类的代码继承同一父类

todo:

  • 基于上述方法构建ensemble的代码,包括 bagging,stacking,blending

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