Customized predictive analytical model training

摘要

Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training predictive models. Multiple training data records are received that each include an input data portion and an output data portion. A training data type is determined that corresponds to the training data. For example, a training data type can be determined by inputting the output data portions into one or more trained predictive classifiers. In other example, the training data type can be determined by comparison of the output data portions to data formats. Based on the determined training data type, a set of training functions are identified that are compatible with the training data of the determined training data type. The training data and the identified set of training functions are used to train multiple predictive models.

主权项

1. A computer-implemented method comprising:
receiving a plurality of training data records, wherein each training data record includes an input data portion and an output data portion; determining a training data type that corresponds to the training data records, comprising:
parsing each training data record;comparing the output data portions of the training data records to a plurality of data formats;based on the comparison, determining a match to a particular data format of the plurality of data formats and determining the training data type based on the particular data format; based on the determined training data type, identifying a set of training functions that are included in a repository of training functions and that are compatible with the training data of the determined training data type, wherein identifying the set of training functions comprises:
inputting the determined training data type as input into a plurality of trained predictive models, each trained predictive model being trained to determine whether a category of training functions is compatible with the training data type;receiving a plurality of predictive outputs from the plurality of trained predictive models; andidentifying the set of training functions based on the plurality of predictive outputs; and using the training data and the identified set of training functions obtained from the repository of training functions to train a plurality of predictive models.