mfi_group_experiment.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9eb4cd4c-f9ec-4bce-9c5f-2ddc0e14fec2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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     "metadata": {},
     "output_type": "display_data"
    },
    {
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    {
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    {
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    {
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%run mfi_experiment_group.py experiment-group 100 0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5f2c11ab-a945-428d-9b7f-cbbe9fb671e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\"> Fold </span>┃<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\"> Recall@5          </span>┃<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\"> Recall@10         </span>┃<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\"> nDCG@5            </span>┃<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\"> nDCG@10           </span>┃\n",
       "┡━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
       "│ 1    │ 0.18681           │ 0.25833           │ 0.33369           │ 0.37231           │\n",
       "│ 2    │ 0.20406           │ 0.27835           │ 0.37739           │ 0.41131           │\n",
       "│ 3    │ 0.17365           │ 0.24328           │ 0.32465           │ 0.36110           │\n",
       "│ 4    │ 0.18290           │ 0.25330           │ 0.34191           │ 0.37592           │\n",
       "│ 5    │ 0.17789           │ 0.24731           │ 0.33947           │ 0.37457           │\n",
       "├──────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┤\n",
       "│      │ 0.18506 ± 0.01049 │ 0.25612 ± 0.01224 │ 0.34342 ± 0.01800 │ 0.37904 ± 0.01696 │\n",
       "└──────┴───────────────────┴───────────────────┴───────────────────┴───────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1;35m \u001b[0m\u001b[1;35mFold\u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mRecall@5         \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mRecall@10        \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mnDCG@5           \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mnDCG@10          \u001b[0m\u001b[1;35m \u001b[0m┃\n",
       "┡━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
       "│ 1    │ 0.18681           │ 0.25833           │ 0.33369           │ 0.37231           │\n",
       "│ 2    │ 0.20406           │ 0.27835           │ 0.37739           │ 0.41131           │\n",
       "│ 3    │ 0.17365           │ 0.24328           │ 0.32465           │ 0.36110           │\n",
       "│ 4    │ 0.18290           │ 0.25330           │ 0.34191           │ 0.37592           │\n",
       "│ 5    │ 0.17789           │ 0.24731           │ 0.33947           │ 0.37457           │\n",
       "├──────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┤\n",
       "│      │ 0.18506 ± 0.01049 │ 0.25612 ± 0.01224 │ 0.34342 ± 0.01800 │ 0.37904 ± 0.01696 │\n",
       "└──────┴───────────────────┴───────────────────┴───────────────────┴───────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%run mfi_experiment_plot.py experiment-group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bf22146b-fdc8-45ef-bd88-d516314fc911",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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