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Active Feature Acquisition with Generative Surrogate Models

Get Started

Prerequisites

Refer to requirements.txt

Download data and data preprocess

Download your training data into the data folder. You might need to convert the data file into a pickle file. The structure of the data should be a dictionary. The keys are 'train','valid', and 'test' and the values are the corresponding data tuple (x, y).
You might need to change the path for each dataset in datasets folder accordingly, in datasets folder, there is a corresponding file for each dataset that parse the data to fit the Tensorflow model.

Train and Test

You can train your own model by the scripts provided below.

Cube

  • Train the ACflow model
python scripts/train_model.py --cfg_file=./exp/cube/params.json
  • Train the PPO Policy
python scripts/train_agent.py --cfg_file=./exp/ppo/params.json

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