Spatial_Classifier-DL

Deep learning based spatial stationary and nonstationary classifier.

Pre-requisites

Please ensure that you have R installed on your system, along with the following libraries:

geoR
MASS
fields

Additionally, please verify if Python 3+ is installed. If not please download and install python from here

Install python virtual env to run the code

Check if pip is installed

$ pip --version

If pip is not installed, follow steps below:

$ cd ~
$ curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
$ python3 get-pip.py

Install virtual environment first & then activate:

$ git clone git@github.com:pratik187/Spatial_Classifier-DL.git
$ cd Spatial_Classifier-DL
$ python3 -m pip install --user virtualenv #Install virtualenv if not installed in your system
$ python3 -m virtualenv env #Create virtualenv for your project
$ source env/bin/activate #Activate virtualenv for linux/MacOS

Install all dependencies for your project from requirements.txt file:

$ pip install -r requirements.txt

Reproducing results

Results can be reproduced by running the following command:

bash run.sh

The accuracy on the test sets will be displayed in the command prompt.