Alternative to using itertools, split train data in half and combine halves

In the ab-split notebook I partition the training data in half A, half B and then I put them together. This means I am left with 20k observations and every training image is used

The same is done for the validation data and will be done for the training data

Turns out this is not working so well

Author: feldnerd

.ipynb_checkpoints/Untitled-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

.ipynb_checkpoints/random-sample-checkpoint.ipynb

@@ -0,0 +1,45 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import itertools\n",
+    "import numpy as np\n",
+    "num_images = 20000\n",
+    "index_list = np.linspace(0,num_images-1,num_images).astype(int)\n",
+    "image_combinations = list(itertools.combinations(index_list, 2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}