Data preparation for NeurEco Parametric Frequency Sweep with the command line interface
Data preparation for NeurEco Parametric Frequency Sweep with the command line interface#
The command line/terminal interface expects the data for model construction or evaluation in form of paths to files containing the data.
The supported formats are:
CSV with “;” or “,” separator;
NumPy .npy
MATLAB MAT-files .mat (under development)
Files contain the numerical data, allowed types:
for input file: float, double
for output file:
NumPy: complex64, complex128
CSV: complex; each complex number with real part Re and imaginary part Im should be encoded with one of the following syntaxes:
Re+Imj, for example 0.1+0.1j
(Re+ Imj), for example (0.1+0.1j)
(Re, Im), for example (0.1,0.1)
Any input file should contain a table with:
Number of lines equal to a number of samples
Number of columns equal to a number of input features
The first column is dedicated to the frequency
CSV files could have one additional line for a header
Any output file should contain a table with:
Number of lines equal to a number of samples
Number of columns equal to a number of output features
CSV files could have one additional line for a header
input file and the corresponding output file should have the same number of samples
The data can be provided in chunks, in multiple input and output files. In this case pay attention to preserving the correspondence between input and output files