Patent ID: 11966340
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A computer program product for automated time series forecasting machine learning pipeline generation in a computing environment, the computer program product comprising:
one or more computer non-transitory readable storage media, and program instructions collectively stored on the one or more non-transitory computer readable storage media, the program instructions comprising:
program instructions to determine a data allocation size of time series data based on one or more characteristics of a time series data set;
program instructions to execute machine learning logic to allocate the time series data to one or more candidate machine learning pipelines based on the data allocation size, wherein a sequential order of the time series data set is used while allocating the time series data based on the data allocation size;
program instructions to execute the machine learning logic to train the one or more candidate machine learning pipelines using selected data associated with the time series data set;
program instructions to execute the machine learning logic to determine and cache one or more features for the time series data by the one or more candidate machine learning pipelines;
program instructions to evaluate predictions of each of the one or more candidate machine learning pipelines using at least the one or more features; and
program instructions to automatically generate a ranked list of machine learning pipelines from the one or more candidate machine learning pipelines for time series forecasting based upon evaluating predictions of each of the one or more candidate machine learning pipelines.