UAF Functions
This directory contains 50 workflows.
TD_MAMEAN
The TD_MAMEAN uses available historical data to forecast activity h periods ahead. It is what is classified as being a flat forecaster, since, given […]
TD_MATRIXMULTIPLY
There is a need in data science to be able to create a new data series that is the result of performing a point-wise mathematical operation against two […]
TD_MINFO
The TD_MINFO, 'Matrix Information', function is an AF Utility function used to return metadata describing the logical matrix identified by the […]
TD_MULTIVAR_REGR
Multivariate linear regression is about fitting the observed data to some multidimensional surface - a formula is postulated which purportedly defines how […]
TD_PACF
the TD_PACF, Partial Auto Correlation function, can be passed either a discrete series - time or spatial series (INPUT_TYPE(DATA_SERIES)) - as an input; or, […]
TD_PORTMAN
They are executed against the residuals left over after a modeling fit operation and are aimed at determining whether the residuals can be classified as […]
TD_POWERSPEC
The Power Spectrum function is another function which converts a series from the time or spatial domain over to the frequency domain in order to facilitate […]
TD_POWERTRANSFORM
At its core, this function takes a logical-runtime series - time series or numerically sequenced series - as an input and applies a power transform to the […]
TD_RESAMPLE
Another classical approach to transforming a time series from an irregular to regular, and/or altering the sampling interval associated with the time […]
TD_SEASONALNORMALIZE
The function SeasonalNormalize() takes a non-stationary series and normalizes the series by removing the unit roots. The function can be used with any […]