Training, Validation and Test data for "On the accuracy of posterior recovery with neural network emulators"

The repo includes the training, test and validation data used in the paper "On the accuracy of posterior recovery with neural network emulators". Note that due to the convention employed by the emulator framework in the paper the test data is the data used for early stopping and the validation data is used to measure the accuracy of the emulator after training. This is the opposite convention to most machine learning literature.

The corresponding code used in the paper is found at: https://github.com/htjb/validating_posteriors.

`_data.txt` corresponds to the ARES parameters used to generate the signals in `_labels.txt`.