Initial Commit

Dockerfile

+FROM ubuntu:jammy
+RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get -yq install python3-pip
+COPY requirements.txt /model/
+RUN pip3 install -r /model/requirements.txt
+COPY model.py /model/
+CMD /model/model.py --input=/data/test.csv --output=/data/aki.csv
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Makefile

+package:
+	tar --exclude=coursework1.tar.gz -cvzf coursework1.tar.gz .
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aki_predictor.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Belfiore Asia, CID:02129867\n",
+    "\n",
+    "MSc Advanced Computing, Spring Term, January 2025\n",
+    "\n",
+    "# **Acute Kidney Injury (AKI) Neural Network Predictor**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np  # add to requirements.txt\n",
+    "import torch    # add to requirements.txt\n",
+    "import torch.nn as nn\n",
+    "\n",
+    "training_data_path = '/data/training.csv'\n",
+    "test_data_path = '/data/test.csv'\n",
+    "\n",
+    "class Net(nn.Module):\n",
+    "    def __init__(self):\n",
+    "        super(Net, self).__init__()\n",
+    "        self.fc1 = nn.Linear(2, 2)\n",
+    "        self.fc2 = nn"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.12.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

model.py

+#!/usr/bin/env python3
+
+import argparse
+import csv
+import random
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--input", default="test.csv")
+    parser.add_argument("--output", default="aki.csv")
+    flags = parser.parse_args()
+    r = csv.reader(open(flags.input))
+    w = csv.writer(open(flags.output, "w"))
+    w.writerow(("aki",))
+    next(r) # skip headers
+    for _ in r:
+        # TODO: Implement a better model
+        w.writerow((random.choice(["y", "n"]),))
+
+if __name__ == "__main__":
+    main()
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