.. _Data preparation for NeurEco Compression python API:

Data preparation for NeurEco Compression with python API
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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, :std:ref:`Normalizing the data`.