Abstract: An information handling system may include at least one processor and a non-transitory memory coupled to the at least one processor. The information handling system may be configured to: receive information regarding a set of variables relating to a machine learning task for analyzing a target variable; perform principal component analysis (PCA) on the set of variables to determine a reduced set of variables; in response to a change in the plurality of variables, dynamically update the reduced set of variables; and determine at least one hyperparameter for the machine learning task based on the dynamically updated reduced set of variables.

Abstract: An information handling system may be configured to: receive time-series data regarding measurements of a physical variable; determine that a missing data point is missing from the time-series data, wherein the missing data point corresponds to a particular day of the week; in response to a determination that earlier corresponding data from the particular day of the week of an earlier week is available, copy the earlier corresponding data to replace the missing data; in response to a determination that later corresponding data from the particular day of the week of a later week is available, copy the later corresponding data to replace the missing data; and in response to a determination that neither the earlier corresponding data nor the later corresponding data is available, perform interpolation to replace the missing data.

Abstract: An information handling system may include at least one processor and a non-transitory memory coupled to the at least one processor. The information handling system may be configured to: communicatively couple to a cloud platform for execution of a task comprising one or more steps; and for each of the one or more steps: in response to a determination that the step has a parallel property associated therewith, cause the cloud platform to create a selected number n of instances of the step for parallel execution; and in response to a determination that the step does not have the parallel property associated therewith, cause the cloud platform to create a single instance of the step for sequential execution.

Abstract: An information handling system may include at least one processor; and a non-transitory memory coupled to the at least one processor. The information handling system may be configured to: communicatively couple to a cloud platform for execution of a machine learning task; and cause the cloud platform to execute a hyper server that is configured to: determine a plurality of sets of possible values for hyperparameters of the machine learning task; for each of the plurality of sets of possible values, dispatch a model comprising the set to a hyper client configured to execute a model training process based on the set; receive, for each set, statistics relating to the model training process for the set; and determine, based on the received statistics, a particular set that is preferred.

Abstract: An information handling system may be configured to: receive time-series data regarding measurements of a physical variable; determine that a missing data point is missing from the time-series data, wherein the missing data point corresponds to a particular day of the week; in response to a determination that earlier corresponding data from the particular day of the week of an earlier week is available, copy the earlier corresponding data to replace the missing data; in response to a determination that later corresponding data from the particular day of the week of a later week is available, copy the later corresponding data to replace the missing data; and in response to a determination that neither the earlier corresponding data nor the later corresponding data is available, perform interpolation to replace the missing data.