UAF Functions
This directory contains 50 workflows.
TD_SELECTION_CRITERIA
The TD_SELECTION_CRITERIA function calculates a number of metrics against the residuals left over from a model validation exercise. The produced metrics […]
TD_SIGNIF_PERIODICITIES
The Significance of Periodicities statistical test aimed at assisting the data scientist in selecting the model candidate which is the best choice for the […]
TD_SIGNIF_RESIDMEAN
The Significance of Residual Mean statistical test is aimed at assisting the data scientist in selecting the model candidate which is the best choice for […]
TD_SIMPLEEXP
The Simple Exponential Smoothing (aka, Single Exponential Smoothing) approach employs a forecasting model that uses only the “level” modeling component to […]
TD_SINFO
The TD_SINFO 'Series Information' function is an AF Utility function used to return some metadata describing the logical series identified by the […]
TD_SMOOTHMA
The TD_SMOOTHMA provides five forms of moving average style of smoothing functions - cumulative, exponential, simple, centered, and weighted; and, […]
TD_TRACKINGOP
Perform Space-Time Analytics
TD_UNDIFF
Because differenced series are series of differences, the reconstruction is simply a cumulative sum of the input values. Which values are summed together is […]
TD_UNNORMALIZE
The TD_UNNORMALIZE function is the sister-function for the TD_SEASONALNORMALIZE function. It provides the data scientist with the ability to “undo” the […]
TD_WHITES_GENERAL
The hope in building a univariate or multi-variate regression model is to create a regression model (estimator) that can be characterized as being BLUE: […]