Data Preprocess Tutorial

There is a detailed tutorial for preprocessing the raw data into processed data for BatteryLife project. Please follow the steps below carefully to process the raw data.

Step1: Prepare the preprocess scripts and install the BatteryML package

1. run the code to clone the BatteryML :

   git clone https://github.com/microsoft/BatteryML.git
   

2. Copy all files under process_scripts from BatteryLife to /BatteryML/batteryml/preprocess/ folder from BatteryML and run the code below to install the batteryml:

   pip install -r requirements.txt
   pip install .
   

Step2: Prepare the raw data file

1. Download raw datasets from Raw Data Acquisition of Data availability.

2. Create a folder named ./datasets/raw/ under the root directory of BatteryLife repository and move all raw datasets under it. The final raw data preparation before preprocessing should be like this:

   /BatteryML-main/datasets/raw/
   |──CALB
   |──CALCE
   |──HNEI
   |──HUST
   |──ISU_ILCC
   |──MATR
   |──MICH
   |──MICH_EXP
   |──NAion
   |──RWTH
   |──SNL
   |──Stanford
   |──Tongji
   |──UL_PUR
   |──XJTU
   |──ZNion
   

Step3: Run the command

1. Run the code:

   python preprocess_scripts.py
   

2. Finally, you can get the processed data under ./datasets/processed/ folder.