发明名称 Predictive analytics factory
摘要 An apparatus, system, method, and computer program product are disclosed for a predictive analytics factory. A receiver module is configured to receive training data. A function generator module is configured to determine a plurality of learned functions from multiple classes based on the training data. A predictive compiler module is configured to form a predictive ensemble comprising a subset of learned functions from the plurality of learned functions. The subset of learned functions is from at least two of the multiple classes.
申请公布号 US8880446(B2) 申请公布日期 2014.11.04
申请号 US201313870861 申请日期 2013.04.25
申请人 PurePredictive, Inc. 发明人 Wellman Richard W.;Phillipps Kelly D.
分类号 G06N99/00 主分类号 G06N99/00
代理机构 Kunzler Law Group, PC 代理人 Kunzler Law Group, PC
主权项 1. An apparatus for a predictive analytics factory, the apparatus comprising: a receiver module configured to receive training data for forming a predictive ensemble customized for the training data; a function generator module configured to pseudo-randomly generate a plurality of learned functions based on the training data without prior knowledge regarding suitability of the generated learned functions for the training data; a function evaluator module configured to perform an evaluation of the plurality of learned functions using test data and to maintain evaluation metadata for the plurality of learned functions, the evaluation metadata comprising one or more of an indicator of a training data set used to generate a learned function and an indicator of one or more decisions made by a learned function during the evaluation; and a predictive compiler module configured to form the predictive ensemble, the predictive ensemble comprising a subset of multiple learned functions from the plurality of learned functions, the multiple learned functions selected and combined based on the evaluation metadata for the plurality of learned functions, the predictive ensemble comprising a rule set synthesized from the evaluation metadata to direct data through the multiple learned functions such that different learned functions of the ensemble process different subsets of the data based on the evaluation metadata.
地址 Sandy UT US