Data preparation for NeurEco Compression with python API

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

• allowed types of arrays: int, float, double

• 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 target values of the Compression problem are equal to its inputs, so only input array is required

There is no need to normalize the data, as the normalization is handled by NeurEco, Data normalization for Tabular Regression.