Data preparation for NeurEco Compression with python API
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.