Update README.md

satyanshukla · web-flow · commit 43d251f5ffd7 · 2019-10-27T04:06:24.000-04:00
diff --git a/README.md b/README.md
@@ -12,15 +12,19 @@ We use a two layer interpolation network. The first interpolation layer performs
 
 
 ## Requirements
-The code requires Python 2.7. The file [requirements.txt](requirements.txt) contains the full list of
+The code requires Python 3.7. The file [requirements.txt](requirements.txt) contains the full list of
 required Python modules.
 
 ## Usage
 For running our model on univariate time series (UWave dataset):
 ```bash
 python src/univariate_example.py --epochs 1000 --hidden_units 2048 --ref_points 128 --batch_size 2048
 ```
-To reproduce the results on MIMIC-III Dataset, first you need to have an access to the dataset which can be requested [here](https://mimic.physionet.org/gettingstarted/access/). Once your application to access MIMIC has been approved, you can download the [data](https://physionet.org/works/MIMICIIIClinicalDatabase/). MIMIC is provided as a collection of comma-separated (CSV) files. You can use these [scripts](https://physionet.org/works/MIMICIIIClinicalDatabase/) to import the csv files into a database. Once you have created the database, run these scripts in order.
+To reproduce the results on MIMIC-III Dataset, first you need to have an access to the dataset which can be requested [here](https://mimic.physionet.org/gettingstarted/access/). Once your application to access MIMIC has been approved, you can download the [data](https://physionet.org/works/MIMICIIIClinicalDatabase/). MIMIC is provided as a collection of comma-separated (CSV) files. You can use these [scripts](https://physionet.org/works/MIMICIIIClinicalDatabase/) to import the csv files into a database. Assuming you installed postgres while creating the database, you need to install psycopg2 using
+```bash
+pip3 install psycopg2
+```
+Once the database has been created, run these scripts in order.
 ```bash
 python src/mimic_data_extraction.py
 python src/multivariate_example.py --epochs 1000 --reference_points 192 --hours_from_adm 48 --batch_size 256 --gpus 4
