| Copyright | (c) Fabricio Olivetti de Franca 2022 |
|---|---|
| License | GPL-3 |
| Maintainer | fabricio.olivetti@gmail.com |
| Stability | experimental |
| Portability | POSIX |
| Safe Haskell | Safe-Inferred |
MachineLearning.Utils.Data
Description
Dataset handling functions.
Synopsis
- processData :: Config -> IO (DataSplit, DataSplit, DataSplit, DataSplit, Vector (Kaucher Double), Kaucher Double, Int)
Documentation
processData :: Config -> IO (DataSplit, DataSplit, DataSplit, DataSplit, Vector (Kaucher Double), Kaucher Double, Int) Source #
Reads and loads the data. It returns the training X, y, test X, y, vector of domains and image of the training data, number of variables