Fft transform

Name : Fft transform

Description:The Fast Fourier Transform (FFT) is a mathematical algorithm that computes the Discrete Fourier Transform (DFT) of a sequence, or its inverse. It is used to transform a signal from the time domain to the frequency domain, or vice versa. This can be useful for analyzing the frequency content of a signal, or for filtering out unwanted noise

Input : Dataframe - The latest version of uploaded data

Output : Dataframe - Link to the saved Dataframe which is modified as per the function and Summary of the actions performed

Mandatory and Non-mandatory/Advanced hyperparameters required for the function are listed below

Mandatory	Non-mandatory/Advanced hyperparameters
	columns
	saveComputationAsNewColumn
	newColumnNameExtension
	Save As New Table

Details of Hyperparameters are provided below

Name	Description	Accepted range/ values	Display Name
columns	Numerical columns to perform fft_transform	Columns in the Dataframe	Columns to select
saveComputationAsNewColumn	Option whether to save the computation as new columnn	True, False	Save computed columns
newColumnNameExtension	Extension name for computed new column saved	-	Name of newly added column
Save As New Table	Option to choose whether the dataframe is to be saved as a new table	-

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