The file "Train Retrieval and Adaptation Together 1.1.ipynb" is a jupyter note book that contains everything needed to carry out the experiments in the paper, Harmonizing Case Retrieval and Adaptation with Alternating Optimization: First Lessons (Under Review, ICCBR 2021)

EXCEPT that the data sets are not included. The URLs are provided for each data set to download it.

In the following instruction, XXX refers to a section of name XXX

Run Import

Choose a dataset from Data and run the corresponding section, for example, Data (Airfoil)

Tune parameters in Preparation and global parameters. If you are not sure what parameters to use, you can refer to the previous recorded settings, for example Results (Airfoil )->In order, Alpha 1

Run from Preparation and global parameters to Test the models, this includes data preprocessing (standardizing), defining models, training models, and testing

To do so, add a section like Data(XXX) to load data. Everything else remains the same as "How to replicate an experiment"