Optimization for scalable analytics using time series models

One or more non-transitory computer-readable media storing instructions which, when executed by one or more hardware processors, cause performance of operations comprising:

• storing a time-series model, the time-series model including a plurality of data points representing seasonal behavior in a training set of time-series data for at least one season, wherein the plurality of data points do not include an explicit timestamp;
• determining a target time for evaluating the time-series model;
• mapping, to a subset of the plurality of data points, the target time or one or more times relative to the target time;
• based on the mapping, generating a trimmed version of the time-series model in a cache by loading the subset of the plurality of data points into the cache, the subset of data points representing seasonal behavior in the training set of time-series data for a portion of the at least one season within a threshold range of the target time;
• determining whether a target set of time-series data includes data points outside the threshold range of the target time;
• responsive to determining that the target set of time-series data includes data points outside the threshold range of the target time, updating the trimmed version of the time-series model in the cache by loading a second subset of the plurality of data points into the cache;
• and
• evaluating the target set of time-series data using the updated trimmed version of the time-series model in the cache to output an evaluation result.

A system comprising:

• one or more hardware processors;
• one or more non-transitory computer-readable media storing instructions which, when executed by the one or more hardware processors, cause:
• storing a time-series model, the time-series model including a plurality of data points representing seasonal behavior in a training set of time-series data for at least one season, wherein the plurality of data points do not include an explicit timestamp;
• determining a target time for evaluating the time-series model;
• mapping, to a subset of the plurality of data points, the target time or one or more times relative to the target time;
• based on the mapping, generating a trimmed version of the time-series model in a cache by loading the subset of the plurality of data points into the cache, the subset of data points representing seasonal behavior in the training set of time-series data for a portion of the at least one season within a threshold range of the target time;
• determining whether a target set of time-series data includes data points outside the threshold range of the target time;
• responsive to determining that the target set of time-series data includes data points outside the threshold range of the target time, updating the trimmed version of the time-series model in the cache by loading a second subset of the plurality of data points into the cache;
• and
• evaluating the target set of time-series data using the updated trimmed version of the time-series model in the cache to output an evaluation result.