在ML.NET中使用更多功能标签是否有意义？

Question

将输入列拆分为多个输出列时有用吗？以这个为例：

IEstimator<ITransformer> pipeline = mLContext.Transforms.CopyColumns(outputColumnName: "Label", inputColumnName: "temp")
                                             .Append(mLContext.Transforms.Concatenate("Features", "Year", "lastYearValue"))
                                             .Append(mLContext.Transforms.Concatenate("Features2", "longitude", "latitude"))
                                             .Append(mLContext.Regression.Trainers.Sdca(maximumNumberOfIterations: 2000));

与此比较：

IEstimator<ITransformer> pipeline = mLContext.Transforms.CopyColumns(outputColumnName: "Label", inputColumnName: "temp")
                                                    .Append(mLContext.Transforms.Concatenate("Features", "Year", "lastYearValue", "longitude", "latitude"))
                                                    .Append(mLContext.Regression.Trainers.Sdca(maximumNumberOfIterations: 2000));

会有所作为吗？如果是，会有什么不同？