CPC G06F 16/2264 (2019.01) [G06F 16/2246 (2019.01); G06F 16/2272 (2019.01); G06F 16/9024 (2019.01)] | 20 Claims |
1. A computer-implemented method comprising:
facilitating, by one or more computer processors, compatibility between one or more multivariate regression models and a multidimensional dataset, comprising:
extracting, by one or more computer processors, a plurality of unidimensional chains from the multidimensional dataset;
double indexing, by one or more computer processors, the plurality of extracted unidimensional chains;
constructing, by one or more computer processors, a plurality of partial fit regression trees from the double indexed unidimensional chains, further comprising:
recursively partitioning, by one or more computer processors, the multidimensional dataset until identifying a partition capable of fitting within the one or more multivariate regression models;
responsive to a stop criterion, calculating, by one or more computer processors, one or more predictions utilizing the plurality of constructed partial fit regression trees; and
repopulating, by one or more computer processors, the multidimensional dataset with the one or more calculated predictions.
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