Platform-agnostic predictive models based on database management system instructions

A method comprising:

• identifying a representation of data transformations associated with a first predictive model that executes on a first computing platform, wherein the representation defines sequences of transformations performed on data before, during, and after application of the first predictive model;
• parsing the representation of data transformations;
• generating database management system instructions that correspond to the parsed representation of data transformations;
• and
• sending the database management system instructions to a second predictive model that executes on a second computing platform, thereby enabling the second predictive model to execute at least some of the database management system instructions to generate a prediction, wherein the first computing platform and the second computing platform are different types of computing platforms;
• wherein the parsed representation of data transformations includes pre-processing data transformations, the first predictive model's data transformation, and post-processing data transformations that can be utilized by the second predictive model to replay the sequence of transformations needed to transform data;
• wherein the database management system instructions enable platform-agnostic predictive models;
• wherein parsing the representation of data transformations comprises modifying a predictive analytics framework to emit database management system instructions that correspond to the representation of data transformations in response to receiving requests for functions that correspond to the representation of data transformations.

A computer program product, comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein to be executed by one or more processors, the program code including instructions to:

• identify a representation of data transformations associated with a first predictive model that executes on a first computing platform, wherein the representation defines sequences of transformations performed on data before, during, and after application of the first predictive model;
• parse the representation of data transformations;
• generate database management system instructions that correspond to the parsed representation of data transformations;
• and
• send the database management system instructions to a second predictive model that executes on a second computing platform, thereby enabling the second predictive model to execute at least some of the database management system instructions to generate a prediction, wherein the first computing platform and the second computing platform are different types of computing platforms;
• wherein the parsed representation of data transformations includes pre-processing data transformations, the first predictive model's data transformation, and post-processing data transformations that can be utilized by the second predictive model to replay the sequence of transformations needed to transform data;
• wherein the database management system instructions enable platform-agnostic predictive models;
• wherein parsing the representation of data transformations comprises modifying a predictive analytics framework to emit database management system instructions that correspond to the representation of data transformations in response to receiving requests for functions that correspond to the representation of data transformations.