Method and system for performing machine learning process

A method for performing machine learning process performed by at least one computing device, comprising:

• continuously collecting prediction data;
• continuously collecting real results of the prediction data;
• generating updated training samples based on the collected prediction data and corresponding real results thereof and continuously obtaining updated machine learning models by using the updated training samples, according to a configured model updating scheme;
• and
• selecting an online machine learning model for providing an online prediction service from among the machine learning models according to a configured model application scheme, and in response to a prediction service request including prediction data, providing a predicted result for the prediction data included in the prediction service request by using the online machine learning model.

A system comprising at least one computing device and at least one storage device storing instructions, wherein the instructions, when executed by the at least one computing device, cause the at least one computing device to perform a method for performing machine learning process, the method comprising:

• continuously collecting prediction data;
• continuously collecting real results of the prediction data;
• generating updated training samples based on the collected prediction data and corresponding real results thereof and continuously obtaining updated machine learning models by using the updated training samples, according to a configured model updating scheme;
• and
• selecting an online machine learning model for providing an online prediction service from among the machine learning models according to a configured model application scheme, and in response to a prediction service request including prediction data, providing a predicted result for the prediction data included in the prediction service request by using the online machine learning model.

A computer-readable storage medium storing instructions, wherein the instructions, when executed by at least one computing device, cause the at least one computing device to perform a method for performing machine learning process, the method comprising:

• continuously collecting prediction data;
• continuously collecting real results of the prediction data;
• generating updated training samples based on the collected prediction data and corresponding real results thereof and continuously obtaining updated machine learning models by using the updated training samples, according to a configured model updating scheme;
• and
• selecting an online machine learning model for providing an online prediction service from among the machine learning models according to a configured model application scheme, and in response to a prediction service request including prediction data, providing a predicted result for the prediction data included in the prediction service request by using the online machine learning model.