METHODS AND SYSTEMS FOR PREDICTIVE ENGINE EVALUATION AND REPLAY OF ENGINE PERFORMANCE

摘要

Disclosed are methods and systems of tracking the deployment of a predictive engine for machine learning, including steps to deploy an engine variant of the predictive engine based on an engine parameter set, wherein the engine parameter set identifies at least one data source and at least one algorithm; receive one or more queries to the deployed engine variant from one or more end-user devices, and in response, generate predicted results; receive one or more actual results corresponding to the predicted results; associate the queries, the predicted results, and the actual results with a replay tag, and record them with the corresponding deployed engine variant.

主权项

1. A system for tracking a predictive engine for replay of engine performance, comprising:
a processor; an engine variant of the predictive engine stored in a digital working memory, wherein the engine variant is determined by an engine parameter set, and wherein the engine parameter set identifies at least one data source and at least one algorithm; and a non-transitory, computer-readable storage medium for storing program code, the program code when executed by the processor, causes the processor to:
deploy the engine variant of the predictive engine based on the engine parameter set;receive one or more queries to the deployed engine variant from one or more end-user devices;in response to the queries, the deployed engine variant generates one or more predicted results;receive one or more actual results corresponding to the predicted results; andassociate the queries, the predicted results, and the actual results with a replay tag, and record the queries, the predicted results, and the actual results with the corresponding deployed engine variant.