Builder(构建器)模式 抽取一个股票板块因子处理类 处理因子复杂度
时间: 2024-03-18 07:39:48 浏览: 15
好的,如果我们需要处理因子复杂度,我们可以在StockFactorProcessorBuilder类中增加一些方法来支持。比如,我们可以增加以下两个方法:
1. setFactorComplexity(int complexity):设置因子复杂度。
2. setFactorSimplification(boolean isSimplified):设置是否对因子进行简化处理。
在setFactorComplexity方法中,我们可以将因子复杂度作为一个参数传入,并将它保存到StockFactorProcessorBuilder类的成员变量中。在setFactorSimplification方法中,我们可以将是否对因子进行简化处理作为一个参数传入,并将它保存到StockFactorProcessorBuilder类的成员变量中。
下面是修改后的示例代码:
```
public class StockFactorProcessorBuilder {
private double marketValueFactor;
private double earningsFactor;
private double growthFactor;
private double dividendFactor;
private int factorComplexity;
private boolean factorSimplification;
public StockFactorProcessorBuilder setMarketValueFactor(double factor) {
this.marketValueFactor = factor;
return this;
}
public StockFactorProcessorBuilder setEarningsFactor(double factor) {
this.earningsFactor = factor;
return this;
}
public StockFactorProcessorBuilder setGrowthFactor(double factor) {
this.growthFactor = factor;
return this;
}
public StockFactorProcessorBuilder setDividendFactor(double factor) {
this.dividendFactor = factor;
return this;
}
public StockFactorProcessorBuilder setFactorComplexity(int complexity) {
this.factorComplexity = complexity;
return this;
}
public StockFactorProcessorBuilder setFactorSimplification(boolean isSimplified) {
this.factorSimplification = isSimplified;
return this;
}
public StockFactorProcessor build() {
StockFactorProcessor processor = new StockFactorProcessor();
processor.setMarketValueFactor(this.marketValueFactor);
processor.setEarningsFactor(this.earningsFactor);
processor.setGrowthFactor(this.growthFactor);
processor.setDividendFactor(this.dividendFactor);
processor.setFactorComplexity(this.factorComplexity);
processor.setFactorSimplification(this.factorSimplification);
return processor;
}
}
```
在这个修改后的示例代码中,我们增加了两个方法:setFactorComplexity和setFactorSimplification。在build()方法中,我们使用设置的因子权重、因子复杂度和是否进行简化处理来构建一个StockFactorProcessor对象,并返回它。
使用这个修改后的Builder模式可以使我们更加灵活地构建股票板块因子处理类,并且可以支持处理因子复杂度的需求。