Data preparation for NeurEco Parametric Frequency Sweep with the Python API#

The python API expects the data for model construction or evaluation in form of NumPy arrays containing the data.

  • allowed types of input arrays: NumPy float64

  • allowed types of output arrays: NumPy complex128

  • input array contains a table with:

    • number of lines equal to a number of samples

    • number of columns equal to a number of input features

    • the first colums is dedicated to the frequency

  • output array contains a table with:

    • number of lines equal to a number of samples

    • number of columns equal to a number of output features

  • input array and the corresponding output array have the same number of samples

There is no need to normalize the data, as the normalization is handled by NeurEco, Data normalization for Parametric Frequency Sweep.