Joined all exercises to one script.

run_all_exercises.ipynb

@@ -0,0 +1,55 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "funded-double",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from library.analysis import testSets\n",
+    "from library.analysis import runExerciseForSpheredNoise, runExerciseForRepeater\n",
+    "from library.analysis import runExerciseForSimpleGAN, runExerciseForConvGAN"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "pediatric-chemistry",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "fns = [runExerciseForRepeater, runExerciseForSpheredNoise, runExerciseForSimpleGAN, runExerciseForConvGAN]\n",
+    "    \n",
+    "for dataset in testSets:\n",
+    "    runExerciseForRepeater(dataset)\n",
+    "    runExerciseForSpheredNoise(dataset)\n",
+    "    runExerciseForSimpleGAN(dataset)\n",
+    "    runExerciseForConvGAN(dataset)"
+   ]
+  }
+ ],
+ "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": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

run_all_with_SimpleGAN.ipynb

@@ -1,201 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fiscal-madonna",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from library.analysis import runExerciseForSimpleGAN"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "sticky-scott",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_abalone_17_vs_7_8_9_10\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "continent-cement",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_abalone9-18\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "acceptable-setting",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_car_good\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "marked-programmer",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_car-vgood\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "familiar-creator",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_flare-F\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "affected-constitution",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_hypothyroid\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "outdoor-asset",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_kddcup-guess_passwd_vs_satan\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "alternate-reconstruction",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_kr-vs-k-three_vs_eleven\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "certified-facial",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_kr-vs-k-zero-one_vs_draw\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "personalized-portuguese",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_shuttle-2_vs_5\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "studied-screen",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_winequality-red-4\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "worse-seafood",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_yeast4\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ultimate-calgary",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_yeast5\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "activated-wildlife",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "runExerciseForSimpleGAN(\"folding_yeast6\")"
-   ]
-  }
- ],
- "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": "3.8.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}