A library of software for inductive inference guided by the Minimum Message Length (MML) principle was created previously. It contains various (object-oriented-) classes and subclasses of statistical Model and can be used to infer Models from given data sets in machine learning problems. Here transformations of statistical Models are considered and implemented within the library so as to have desirable properties from the object-oriented programming and mathematical points of view. The subclasses of class Function needed to do such transformations are defined.
翻译:先前在最小信息长度原则的指导下创建了一个用于感应推断的软件库,它包含统计模型的各种(面向目标的)类别和亚类,可用于从机器学习问题中从特定数据集中推断模型。这里考虑并在图书馆内实施统计模型的转换,以便从面向目标的编程和数学角度具有可取的属性。界定了进行这种转换所需的类次功能。