Setup
Environment
The GLOBEM is a python-based platform. Here is an example of using Anaconda or miniconda for environment setup:
conda create -n globem python=3.7
conda activate globem
pip install -r requirements.txt
Dataset Preparation
Example raw data are provided in our Github data_raw
folder.
Please refer to the GLOBEM Dataset page for more details about the raw data format.
A simple script is prepared to process these raw data.
As different subjects may have a different amount of data,
the main purpose of the processing is to slice the data into standard (feature matrix
, label
) pairs (see XXX in the next page for specific definitions).
The preparation can be done by running
python data/data_prep.py
⚠️
ETA
~45 mins with the completed version of the four-year dataset, ~3 mins with the sample data.