diff --git a/README.md b/README.md index 1c30022..d99b5a9 100644 --- a/README.md +++ b/README.md @@ -47,7 +47,7 @@ The approach demonstrated can be extended to other metrics or features beyond ge ## How to Use 1. Install the required dependencies by running `pip install -r requirements.txt`. -2. Run `make data` to generate the dataset of city distances. +2. Run `make data` to generate the dataset of city distances. This will create `city_distances.csv` by default only with US cities (for now). 3. Run `make train` to train the neural network model. 4. Run `make eval` to evaluate the trained model and generate evaluation plots.