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

Claim 6:
7. A system for automated time series forecasting machine learning pipeline generation in a computing environment, comprising:
one or more computers with executable instructions that when executed cause the system to:
determine a data allocation size of time series data based on one or more characteristics of a time series data set;
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;
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;
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;
evaluate predictions of each of the one or more candidate machine learning pipelines using at least the one or more features; and
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.