Systems and methods for performing prediction tasks from tabular data using a hierarchical set of encoder machine learning models

A method for performing one or more prediction task, the method executed in a computing environment comprising at least one processor, the method comprising:

• receiving a plurality of tabular datasets, each tabular dataset of the plurality of tabular datasets comprising data related to a same historical time period;
• processing the plurality of tabular datasets using a hierarchical set of encoder machine learning models to generate a token that represents the plurality of tabular datasets, the hierarchical set of encoder machine learning models comprising a plurality of first layer encoder machine learning models configured to generate a plurality of intermediate tokens from the plurality of tabular datasets and a second layer encoder machine learning model configured to generate the token from the plurality of intermediate tokens;
• and
• processing the token using a predictor machine learning model to generate a predicted target for each of the one or more prediction task.

A non-transitory computer readable medium storing computer executable instructions which, when executed by at least one computer processor, cause the at least one computer processor to carry out a method for performing one or more prediction task, the method comprising:

• receiving a plurality of tabular datasets, each tabular dataset of the plurality of tabular datasets comprising data related to a same historical time period;
• processing the plurality of tabular datasets using a hierarchical set of encoder machine learning models to generate a token that represents the plurality of tabular datasets, the hierarchical set of encoder machine learning models comprising a plurality of first layer encoder machine learning models configured to generate a plurality of intermediate tokens from the plurality of tabular datasets and a second layer encoder machine learning model configured to generate the token from the plurality of intermediate tokens;
• and
• processing the token using a predictor machine learning model to generate a predicted target for each of the one or more prediction task.