US Patent Application 18348217. CUSTOMIZED PREDICTIVE ANALYTICAL MODEL TRAINING simplified abstract
Contents
CUSTOMIZED PREDICTIVE ANALYTICAL MODEL TRAINING
Organization Name
Inventor(s)
Jordan M. Breckenridge of Menlo Park CA (US)
Travis H. K. Green of New York NY (US)
Robert Kaplow of New York NY (US)
Wei-Hao Lin of New York NY (US)
Gideon S. Mann of New York NY (US)
CUSTOMIZED PREDICTIVE ANALYTICAL MODEL TRAINING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18348217 titled 'CUSTOMIZED PREDICTIVE ANALYTICAL MODEL TRAINING
Simplified Explanation
The patent application describes methods, systems, and apparatus for training predictive models using multiple training data records.
- The training data records consist of an input data portion and an output data portion.
- The training data type is determined by inputting the output data portions into trained predictive classifiers or comparing them to data formats.
- Based on the determined training data type, a set of training functions compatible with the training data are identified.
- The identified set of training functions and the training data are used to train multiple predictive models.
Original Abstract Submitted
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.
