Pyhon software coming soon to GitHub
Transform raw data to a gaussian distributed space using a performance metric. If the data has been found to be gaussian distributed it can be used to:
Score feature performance in multi-classification models
Dimensionality reduction via gaussian processes
The fitting method is a parameter which determines how to narrow down the potential transformation applied to the raw data. There are several to choose from and can greatly change the run time of your program.
optimize - Checks skew and kurtosis to qualify raw data transformations
robust - Applies every possible transformation
magnitude - Rejects standard log transformation if any data is negative