t-SNE vis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle\n",
    "import plotly.express as px\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_pickle(\"./imdb.pkl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "mat = np.matrix([x for x in df.embeddings])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lower dim data has shape (6012, 2)\n"
     ]
    }
   ],
   "source": [
    "tsne_model = TSNE(n_components=2, n_jobs=-1, random_state=42)\n",
    "low_dim_data = tsne_model.fit_transform(mat)\n",
    "\n",
    "print('Lower dim data has shape',low_dim_data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# color scheme can be DEFINITELY improved.\n",
    "\n",
    "tsne_df = pd.DataFrame(np.column_stack((low_dim_data, df.layers)), columns=['x', 'y', 'layers'])\n",
    "tsne_df['layers'] = tsne_df['layers'].astype(str).replace('\\.0', '', regex=True)\n",
    "\n",
    "fig = px.scatter(\n",
    "    tsne_df, x=tsne_df['x'], y=tsne_df['y'],\n",
    "    color=tsne_df.layers, labels={'color': 'layers'}\n",
    ")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "                            \n",
       "var gd = document.getElementById('376ad1c9-1da8-4855-82e0-d8bfa66c4647');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
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       "    x.observe(notebookContainer, {childList: true});\n",
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       "    x.observe(outputEl, {childList: true});\n",
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     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "# color scheme can be DEFINITELY improved.\n",
    "\n",
    "tsne_df = pd.DataFrame(np.column_stack((low_dim_data, df.layers)), columns=['x', 'y', 'layers'])\n",
    "tsne_df['layers'] = tsne_df['layers'].astype(int)\n",
    "\n",
    "fig = px.scatter(\n",
    "    tsne_df, x=tsne_df['x'], y=tsne_df['y'],\n",
    "    color=tsne_df.layers, labels={'color': 'layers'}\n",
    ")\n",
    "fig.show()"
   ]
  }
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