KS,AUC 和 PSI 是风控算法中最常计算的几个指标,本文记录了多种工具计算这些指标的方法. 生成本文的测试数据: import pandas as pd import numpy as np import pyspark.sql.functions as F from pyspark.sql.window import Window from pyspark.sql.types import StringType, DoubleType from pyspark.sql import Sp
面向对象的基本特征包括:封装,继承,多态 在swift中,类,结构,枚举都具有面向对象特性 但结构和枚举的实例不称为对象,因为结构和枚举不是彻底的面向对象类型,比如他们不能继承. 结构体 struct Point { var x,y: Double } struct Size{ var width, height: Double } struct Rect { var origin : Point var size: Size var area: Double { return size.wid
public class Test_currentTimeMillis { public static void main(String[] args) { long start=System.currentTimeMillis(); for(int i=0;i<Integer.MAX_VALUE;i++){} long end=System.currentTimeMillis(); System.out.println("for语句执行时长:"+(end-start)+&quo
# -*- coding: utf-8 -*- import pandas as pd from sklearn.grid_search import GridSearchCV from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler from sklearn.utils import shuffle import numpy as np from s
package dx; public class Car { //构造类 public Car() { System.out.println("Car的构造类"); } //构造类重用,初始化空车重量 public Car(double KongChe) { kongche = KongChe; } //成员变量 double kongche; //成员方法,计算货物重量 public double shizhong(double manzai) { return manzai - k
