System, method, and computer program product for generating code to retrieve aggregation data for machine learning models

A computer-implemented method, comprising:

• receiving, with at least one processor, a data file, wherein the data file comprises data associated with one or more input parameters of a machine learning model;
• generating, with at least one processor, a code generation template based on the data associated with one or more input parameters of the machine learning model included in the data file, wherein the code generation template comprises a template with fields based on the one or more input parameters of the machine learning model, wherein the code generation template comprises one or more keys associated with one or more parameters of a transaction aggregate for an account of a user, and wherein the one or more keys associated with the one or more parameters of the transaction aggregate for the account of the user corresponds to one or more features that were used to train and validate the machine learning model;
• and
• generating, with at least one processor, an executable code file based on the code generation template, wherein the file of executable code comprises instructions that, when executed by at least one processor, cause the at least one processor to retrieve transaction aggregate data associated with the transaction aggregate for the account of the user.

A computer program product comprising at least one non-transitory computer-readable medium comprising one or more instructions that, when executed by at least one processor, cause the at least one processor to:

• receive a data file associated with a machine learning model;
• generate a code generation template based on receiving the data file associated with the machine learning model, wherein the code generation template comprises a template with fields based on the one or more input parameters of the machine learning model, wherein the code generation template comprises one or more keys associated with one or more parameters of a transaction aggregate for an account of a user, wherein the one or more keys associated with the one or more parameters of the transaction aggregate for the account of the user corresponds to one or more features that were used to train and validate the machine learning model, and wherein the one or more parameters of the transaction aggregate for the account of the user are based on one or more parameters of a plurality of payment transactions involving the account of the user;
• and
• generate a file of executable code based on the code generation template, wherein the file of executable code comprises instructions that, when executed by the at least one processor, cause the at least one processor to retrieve transaction aggregate data associated with the transaction aggregate for the account of the user.