This project is a work-in-progress.
Download and install git
Download and install the latest version of Conda (version 4.4 or above)
Run Anaconda Prompt as Administrator
Create a new conda environment:
$ conda create -n <name-of-repository> python=3.6 pip
$ conda activate <name-of-repository>
(If you’re using a version of conda older than 4.4, you may need to instead use source activate .)
Ensure that you have navigated to the top level of your cloned repository. You will execute all your pip commands from this location. For example:
$ cd /path/to/repository
Install the environment needed for this repository:
$ pip install -e .[dev]
Download data from https://nrel.app.box.com/folder/75255495838?s=fzn8t5t72w8yvgjogs8zfyeix7djj3pi Unzip the files and make sure the directory is in the same format as 'data/TN_Knoxville/TN_Knoxville/...' where the metadata file and simulation data are located
- Add cross validation module
- Add systematic feature extraction and selection module