Determining component contributions of time-series model

A method comprising:

• iteratively predicting an output signal of a time-series data value via execution of a time-series machine learning model on input data;
• decomposing the predicted output signal into a plurality of component signals corresponding to a plurality of components of the time-series machine learning model, the plurality of component signals comprising a trend signal, a cyclic signal, and a fluctuation signal;
• determining a plurality of global values corresponding to the plurality of component signals, respectively, for a first subset of the predicted output signal, where a global value is determined based on an absolute value of a respective component signal within the first subset of the predicted output signal;
• and
• constructing a plurality of bars corresponding to global values of the plurality of component signals;
• and
• displaying the plurality of bars corresponding to the global values.

A non-transitory computer-readable medium comprising program instructions which when executed by a hardware processor cause the hardware processor to perform a method comprising:

• iteratively predicting an output signal of a time-series data value via execution of a time-series machine learning model on input data;
• decomposing the predicted output signal into a plurality of component signals corresponding to a plurality of components of the time-series machine learning model, the plurality of component signals comprising a trend signal. a cyclic signal, and a fluctuation signal;
• determining a plurality of global values respectively corresponding to the plurality of component signals for a first subset of the predicted output signal, where a global value is determined based on an absolute value of a respective component signal within the first subset of the predicted output signal;
• constructing a plurality of bars respectively corresponding to global values of the plurality of component signals;
• and
• displaying the plurality of bars respectively corresponding to global values of the plurality of component signals via a user interface.