examples/Anomaly_detection_with_embeddings.ipynb

{
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      "cell_type": "markdown",
      "metadata": {
        "id": "Tce3stUlHN0L"
      },
      "source": [
        "##### Copyright 2025 Google LLC."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "tuOe1ymfHZPu"
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      "outputs": [],
      "source": [
        "# @title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
        "# you may not use this file except in compliance with the License.\n",
        "# You may obtain a copy of the License at\n",
        "#\n",
        "# https://www.apache.org/licenses/LICENSE-2.0\n",
        "#\n",
        "# Unless required by applicable law or agreed to in writing, software\n",
        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
        "# See the License for the specific language governing permissions and\n",
        "# limitations under the License."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PkzOKBirz271"
      },
      "source": [
        "# Anomaly detection with embeddings"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZFWzQEqNosrS"
      },
      "source": [
        "<a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/cookbook/blob/main/examples/Anomaly_detection_with_embeddings.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" height=30/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BQPvHyHCz7mk"
      },
      "source": [
        "## Overview\n",
        "\n",
        "This tutorial demonstrates how to use the embeddings from the Gemini API to detect potential outliers in your dataset. You will visualize a subset of the 20 Newsgroup dataset using [t-SNE](https://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html) and detect outliers outside a particular radius of the central point of each categorical cluster.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "LyLLYVEhzud8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/137.7 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━\u001b[0m \u001b[32m133.1/137.7 kB\u001b[0m \u001b[31m4.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.7/137.7 kB\u001b[0m \u001b[31m2.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ],
      "source": [
        "%pip install -U -q \"google-genai>=1.0.0\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Yi0kitgd5aLG"
      },
      "source": [
        "To run the following cell, your API key must be stored it in a Colab Secret named `GOOGLE_API_KEY`. If you don't already have an API key, or you're not sure how to create a Colab Secret, see the [Authentication](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Authentication.ipynb) quickstart for an example."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "6OeEZ5Bj5Zr8"
      },
      "outputs": [],
      "source": [
        "# Used to securely store your API key\n",
        "from google.colab import userdata\n",
        "from google import genai\n",
        "API_KEY = userdata.get(\"GOOGLE_API_KEY\")\n",
        "client = genai.Client(api_key=API_KEY)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qhWtEhZ6BO58"
      },
      "source": [
        "## Prepare dataset\n",
        "\n",
        "The [20 Newsgroups Text Dataset](https://scikit-learn.org/stable/datasets/real_world.html#newsgroups-dataset) from the open-source [SciKit project](https://scikit-learn.org/) contains 18,000 newsgroups posts on 20 topics divided into training and test sets. The split between the training and test datasets are based on messages posted before and after a specific date. This tutorial uses the training subset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "YtHABp9BBTIt"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['alt.atheism',\n",
              " 'comp.graphics',\n",
              " 'comp.os.ms-windows.misc',\n",
              " 'comp.sys.ibm.pc.hardware',\n",
              " 'comp.sys.mac.hardware',\n",
              " 'comp.windows.x',\n",
              " 'misc.forsale',\n",
              " 'rec.autos',\n",
              " 'rec.motorcycles',\n",
              " 'rec.sport.baseball',\n",
              " 'rec.sport.hockey',\n",
              " 'sci.crypt',\n",
              " 'sci.electronics',\n",
              " 'sci.med',\n",
              " 'sci.space',\n",
              " 'soc.religion.christian',\n",
              " 'talk.politics.guns',\n",
              " 'talk.politics.mideast',\n",
              " 'talk.politics.misc',\n",
              " 'talk.religion.misc']"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from sklearn.datasets import fetch_20newsgroups\n",
        "\n",
        "newsgroups_train = fetch_20newsgroups(subset=\"train\")\n",
        "\n",
        "# View list of class names for dataset\n",
        "newsgroups_train.target_names"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LPKgmQDQC3zd"
      },
      "source": [
        "Here is the first example in the training set."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "CSXYP0JwBXHh"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Lines: 15\n",
            "\n",
            " I was wondering if anyone out there could enlighten me on this car I saw\n",
            "the other day. It was a 2-door sports car, looked to be from the late 60s/\n",
            "early 70s. It was called a Bricklin. The doors were really small. In addition,\n",
            "the front bumper was separate from the rest of the body. This is \n",
            "all I know. If anyone can tellme a model name, engine specs, years\n",
            "of production, where this car is made, history, or whatever info you\n",
            "have on this funky looking car, please e-mail.\n",
            "\n",
            "Thanks,\n",
            "- IL\n",
            "   ---- brought to you by your neighborhood Lerxst ----\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n"
          ]
        }
      ],
      "source": [
        "idx = newsgroups_train.data[0].index(\"Lines\")\n",
        "print(newsgroups_train.data[0][idx:])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "Raafa2naC6Ec"
      },
      "outputs": [],
      "source": [
        "import re\n",
        "\n",
        "# Apply functions to remove names, emails, and extraneous words from data points in newsgroups.data\n",
        "newsgroups_train.data = [\n",
        "    re.sub(r\"[\\w\\.-]+@[\\w\\.-]+\", \"\", d) for d in newsgroups_train.data\n",
        "]  # Remove email\n",
        "newsgroups_train.data = [\n",
        "    re.sub(r\"\\([^()]*\\)\", \"\", d) for d in newsgroups_train.data\n",
        "]  # Remove names\n",
        "newsgroups_train.data = [\n",
        "    d.replace(\"From: \", \"\") for d in newsgroups_train.data\n",
        "]  # Remove \"From: \"\n",
        "newsgroups_train.data = [\n",
        "    d.replace(\"\\nSubject: \", \"\") for d in newsgroups_train.data\n",
        "]  # Remove \"\\nSubject: \"\n",
        "\n",
        "# Cut off each text entry after 5,000 characters\n",
        "newsgroups_train.data = [\n",
        "    d[0:5000] if len(d) > 5000 else d for d in newsgroups_train.data\n",
        "]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "ZjE_Lsr6IhEd"
      },
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            "text/plain": [
              "                                                    Text  Label  \\\n",
              "0       WHAT car is this!?\\nNntp-Posting-Host: rac3.w...      7   \n",
              "1       SI Clock Poll - Final Call\\nSummary: Final ca...      4   \n",
              "2       PB questions...\\nOrganization: Purdue Univers...      4   \n",
              "3       Re: Weitek P9000 ?\\nOrganization: Harris Comp...      1   \n",
              "4       Re: Shuttle Launch Question\\nOrganization: Sm...     14   \n",
              "...                                                  ...    ...   \n",
              "11309    Re: Migraines and scans\\nDistribution: world...     13   \n",
              "11310  Screen Death: Mac Plus/512\\nLines: 22\\nOrganiz...      4   \n",
              "11311   Mounting CPU Cooler in vertical case\\nOrganiz...      3   \n",
              "11312   Re: Sphere from 4 points?\\nOrganization: Cent...      1   \n",
              "11313   stolen CBR900RR\\nOrganization: California Ins...      8   \n",
              "\n",
              "                     Class Name  \n",
              "0                     rec.autos  \n",
              "1         comp.sys.mac.hardware  \n",
              "2         comp.sys.mac.hardware  \n",
              "3                 comp.graphics  \n",
              "4                     sci.space  \n",
              "...                         ...  \n",
              "11309                   sci.med  \n",
              "11310     comp.sys.mac.hardware  \n",
              "11311  comp.sys.ibm.pc.hardware  \n",
              "11312             comp.graphics  \n",
              "11313           rec.motorcycles  \n",
              "\n",
              "[11314 rows x 3 columns]"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Put training points into a dataframe\n",
        "df_train = pd.DataFrame(newsgroups_train.data, columns=[\"Text\"])\n",
        "df_train[\"Label\"] = newsgroups_train.target\n",
        "# Match label to target name index\n",
        "df_train[\"Class Name\"] = df_train[\"Label\"].map(\n",
        "    newsgroups_train.target_names.__getitem__\n",
        ")\n",
        "\n",
        "df_train"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f7OHvTBaImpB"
      },
      "source": [
        "Next, sample some of the data by taking 150 data points in the training dataset and choosing a few categories. This tutorial uses the science categories."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "yPxwl05BIjWX"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "<ipython-input-7-dc22d2141534>:5: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
            "  .apply(lambda x: x.sample(SAMPLE_SIZE))\n"
          ]
        },
        {
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              "summary": "{\n  \"name\": \"df_train\",\n  \"rows\": 600,\n  \"fields\": [\n    {\n      \"column\": \"index\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 173,\n        \"min\": 1650,\n        \"max\": 2249,\n        \"num_unique_values\": 600,\n        \"samples\": [\n          1760,\n          2069,\n          2215\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 600,\n        \"samples\": [\n          \" What is going on?...\\nLines: 26\\nOrganization: Curtin University of Technology\\nDistribution: inet\\n\\nIn article <1qhc2p$>,   writes:\\n> In article <>   writes:\\n...\\n> Call me paranoid, but this is the same kind of scare story which Dorothy\\n> Denning was citing while calling for the limitation of cryptography.\\n> \\n> I doubt that DD is behind this -- \\n> \\n> but I suspect that the FBI  are behind DD and those agencies\\n> could easily be mounting a nationwide campaign  to\\n> build up public outcry against digital communication -- especially against\\n> unbreakable, encrypted communication.\\n> \\n> \\n> What's going on here??\\n> \\n\\nHaven't you read any of Noam Chomsky's works? A widely used information net\\noutside the control of the 'right people' is unthinkable. Hundreds of billions\\nof dollars will be spent to wipe it out, sorry, 'regulate and order it' once\\nthe major media and poitical powers wake up to the efect it can have.\\n\\nIf you can't be bothered reading, get the video \\\"Manufacturing Consent\\\".\\n\\n~Paul\\n\\n\",\n          \" Re: Can men get yeast infections?\\nOrganization: Purdue University Computing Center\\nDistribution: na\\nLines: 25\\n\\nIn article <>   writes:\\n>In article   writes:\\n>\\n>>Here's a potentially stupid question to possibly the wrong news group, but. .\\n>>\\n>>Can men get yeast infections? Spread them? What kind of symptoms?\\n>>Similar as women's?  I have a yeast infection and my husband  is sure he's gonna catch it and keeps\\n>>asking me what it's like.  I'm not sure what his symptoms would be. . \\n>\\n>The answer is yes and no.  I'm sure others on sci.med can expand on this.\\n>\\n>Jon\\n\\nI know from personal experience that men CAN get yeast infections. I \\nget rather nasty ones from time to time, mostly in the area of the\\nscrotum and the base of the penis. They're nowhere near as dangerous\\nfor me as for many women, but goddamn does it hurt in the summertime!\\nEven in the wintertime, when I sweat I get really uncomfy down there. The\\nbest thing I can do to keep it under control is keep my weight down and\\nkeep cool down there. Shorts in 60 degree weather, that kind of thing. And\\nof course some occasional sun. \\n\\nLost Boy\\n\\n\",\n          \" Re: Potential World-Bearing Stars?\\nIn-Reply-To: 's message of Mon, 12 Apr 1993 19:52:23 GMT\\nLines: 17\\nOrganization: SABER - Sistemas de Informacao, Lda.\\n\\nIn article <>   writes:\\n\\n\\n   I'm on a fact-finding mission, trying to find out if there exists a list of\\n   potentially world-bearing stars within 100 light years of the Sun...\\n   Is anyone currently working on this sort of thing?  Thanks...\\n\\n   Dan\\n   -- \\n\\nIn principle, any star resembling the Sun  might have planets\\nlocated in a suitable orbit. There several within 100 ly of the sun. They are\\nsingle stars, for double or multiple systems might be troublesome. There's a\\nlist located at ames.arc.nasa.gov somewhere in pub/SPACE. I think it is called\\nstars.dat. By the way, what kind of project, if I may know?\\n\\nRui\\n-- \\n*** Infinity is at hand!                               Rui Sousa\\n*** If yours is big enough, grab it!                   \\n\\n                All opinions expressed here are strictly my own\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 11,\n        \"max\": 14,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          12,\n          14,\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Class Name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"sci.electronics\",\n          \"sci.space\",\n          \"sci.crypt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "</div>\n",
              "\n",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_train')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
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              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "     index                                               Text  Label  \\\n",
              "0     1650   Re: White House Public Encryption Management ...     11   \n",
              "1     1651   Re: The [secret] source of that announcement\\...     11   \n",
              "2     1652   Re: text of White House announcement and Q&As...     11   \n",
              "3     1653   Re: White House Wiretap Chip Disinformation S...     11   \n",
              "4     1654  Tony Lezard <>Re: text of White House announce...     11   \n",
              "..     ...                                                ...    ...   \n",
              "595   2245  Leigh Palmer <>Re: Orion drive in vacuum -- ho...     14   \n",
              "596   2246   Re: A WRENCH in the works?\\nOrganization: Ken...     14   \n",
              "597   2247   Re: space news from Feb 15 AW&ST\\nOrganizatio...     14   \n",
              "598   2248  Subject: DC-X/Y/1 question\\n \\nKeywords: DC-X\\...     14   \n",
              "599   2249  MUNIZB% Long Island \\nX-Added: Forwarded by Sp...     14   \n",
              "\n",
              "    Class Name  \n",
              "0    sci.crypt  \n",
              "1    sci.crypt  \n",
              "2    sci.crypt  \n",
              "3    sci.crypt  \n",
              "4    sci.crypt  \n",
              "..         ...  \n",
              "595  sci.space  \n",
              "596  sci.space  \n",
              "597  sci.space  \n",
              "598  sci.space  \n",
              "599  sci.space  \n",
              "\n",
              "[600 rows x 4 columns]"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Take a sample of each label category from df_train\n",
        "SAMPLE_SIZE = 150\n",
        "df_train = (\n",
        "    df_train.groupby(\"Label\", as_index=False)\n",
        "    .apply(lambda x: x.sample(SAMPLE_SIZE))\n",
        "    .reset_index(drop=True)\n",
        ")\n",
        "\n",
        "# Choose categories about science\n",
        "df_train = df_train[df_train[\"Class Name\"].str.contains(\"sci\")]\n",
        "\n",
        "# Reset the index\n",
        "df_train = df_train.reset_index()\n",
        "df_train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "UjTrEnmdIo5P"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Class Name</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>sci.crypt</th>\n",
              "      <td>150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sci.electronics</th>\n",
              "      <td>150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sci.med</th>\n",
              "      <td>150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sci.space</th>\n",
              "      <td>150</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ],
            "text/plain": [
              "Class Name\n",
              "sci.crypt          150\n",
              "sci.electronics    150\n",
              "sci.med            150\n",
              "sci.space          150\n",
              "Name: count, dtype: int64"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train[\"Class Name\"].value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DUgv8SOwXfAX"
      },
      "source": [
        "## Create the embeddings\n",
        "\n",
        "In this section, you will see how to generate embeddings for the different texts in the dataframe using the embeddings from the Gemini API."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "01I9uzbo4t26"
      },
      "source": [
        "### API changes to Embeddings with model embedding-001\n",
        "\n",
        "For the embeddings model, `text-embedding-004`, there is a task type parameter and the optional title (only valid with task_type=`RETRIEVAL_DOCUMENT`).\n",
        "\n",
        "These parameters apply only to the embeddings models. The task types are:\n",
        "\n",
        "Task Type | Description\n",
        "---       | ---\n",
        "RETRIEVAL_QUERY\t| Specifies the given text is a query in a search/retrieval setting.\n",
        "RETRIEVAL_DOCUMENT | Specifies the given text is a document in a search/retrieval setting.\n",
        "SEMANTIC_SIMILARITY\t| Specifies the given text will be used for Semantic Textual Similarity (STS).\n",
        "CLASSIFICATION\t| Specifies that the embeddings will be used for classification.\n",
        "CLUSTERING\t| Specifies that the embeddings will be used for clustering."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "jkS_EWfAXcxc"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "d115f3568c0e4b77ba4408f39374504a",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "  0%|          | 0/6 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from tqdm.auto import tqdm\n",
        "from google.genai import types\n",
        "\n",
        "tqdm.pandas()\n",
        "\n",
        "from google.api_core import retry\n",
        "import numpy as np\n",
        "import math\n",
        "\n",
        "\n",
        "def make_embed_text_fn(model):\n",
        "\n",
        "    @retry.Retry(timeout=300.0)\n",
        "    def embed_fn(texts: list[str]) -> list[list[float]]:\n",
        "        # Set the task_type to CLUSTERING and embed the batch of texts\n",
        "        embeddings = client.models.embed_content(\n",
        "            model=model,\n",
        "            contents=texts,\n",
        "            config=types.EmbedContentConfig(task_type=\"CLUSTERING\"),\n",
        "        ).embeddings\n",
        "        return np.array([embedding.values for embedding in embeddings])\n",
        "\n",
        "    return embed_fn\n",
        "\n",
        "\n",
        "def create_embeddings(df):\n",
        "    MODEL_ID = \"text-embedding-004\" # @param [\"embedding-001\",\"text-embedding-004\"] {allow-input: true}\n",
        "    model = f\"models/{MODEL_ID}\"\n",
        "    embed_fn = make_embed_text_fn(model)\n",
        "\n",
        "    batch_size = 100  # at most 100 requests can be in one batch\n",
        "    all_embeddings = []\n",
        "\n",
        "    # Loop over the texts in chunks of batch_size\n",
        "    for i in tqdm(range(0, len(df), batch_size)):\n",
        "        batch = df[\"Text\"].iloc[i : i + batch_size].tolist()\n",
        "        embeddings = embed_fn(batch)\n",
        "        all_embeddings.extend(embeddings)\n",
        "\n",
        "    df[\"Embeddings\"] = all_embeddings\n",
        "    return df\n",
        "\n",
        "\n",
        "df_train = create_embeddings(df_train)\n",
        "df_train.drop(\"index\", axis=1, inplace=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hNTjKcD_aluG"
      },
      "source": [
        "## Dimensionality reduction\n",
        "\n",
        "The dimension of the document embedding vector is 768. In order to visualize how the embedded documents are grouped together, you will need to apply dimensionality reduction as you can only visualize the embeddings in 2D or 3D space. Contextually similar documents should be closer together in space as opposed to documents that are not as similar."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "BJDHDQmeZqy2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "768"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "len(df_train[\"Embeddings\"][0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "S5-XU-twaoK6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(600, 768)"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Convert df_train['Embeddings'] Pandas series to a np.array of float32\n",
        "X = np.array(df_train[\"Embeddings\"].to_list(), dtype=np.float32)\n",
        "X.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AV-Y7iEtbAkm"
      },
      "source": [
        "You will apply the t-Distributed Stochastic Neighbor Embedding (t-SNE) approach to perform dimensionality reduction. This technique reduces the number of dimensions, while preserving clusters (points that are close together stay close together). For the original data, the model tries to construct a distribution over which other data points are \"neighbors\" (e.g., they share a similar meaning). It then optimizes an objective function to keep a similar distribution in the visualization."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "FhYKF-lObC04"
      },
      "outputs": [],
      "source": [
        "from sklearn.manifold import TSNE\n",
        "\n",
        "tsne = TSNE(random_state=0, max_iter=1000)\n",
        "tsne_results = tsne.fit_transform(X)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "31wdqnp_bH9B"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df_tsne\",\n  \"rows\": 600,\n  \"fields\": [\n    {\n      \"column\": \"TSNE1\",\n      \"properties\": {\n        \"dtype\": \"float32\",\n        \"num_unique_values\": 600,\n        \"samples\": [\n          -18.317607879638672,\n          21.307199478149414,\n          21.615800857543945\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TSNE2\",\n      \"properties\": {\n        \"dtype\": \"float32\",\n        \"num_unique_values\": 600,\n        \"samples\": [\n          5.472441673278809,\n          17.822649002075195,\n          -13.283952713012695\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Class Name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"sci.electronics\",\n          \"sci.space\",\n          \"sci.crypt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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              "\n",
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              "      <th>0</th>\n",
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              "      <td>27.036417</td>\n",
              "      <td>-18.934540</td>\n",
              "      <td>sci.space</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>598</th>\n",
              "      <td>4.773326</td>\n",
              "      <td>-21.166903</td>\n",
              "      <td>sci.space</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>599</th>\n",
              "      <td>9.662366</td>\n",
              "      <td>-18.331491</td>\n",
              "      <td>sci.space</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>600 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ba4f8fc8-abe3-4d0f-8e65-59d3b815addd')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-ba4f8fc8-abe3-4d0f-8e65-59d3b815addd button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-ba4f8fc8-abe3-4d0f-8e65-59d3b815addd');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-54689531-0e87-4f05-82ac-5999635c32f0\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-54689531-0e87-4f05-82ac-5999635c32f0')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-54689531-0e87-4f05-82ac-5999635c32f0 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_40a2598f-bc3a-4d35-b6fa-dd586c380de6\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_tsne')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_40a2598f-bc3a-4d35-b6fa-dd586c380de6 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df_tsne');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "         TSNE1      TSNE2 Class Name\n",
              "0   -21.515207   4.553598  sci.crypt\n",
              "1   -15.827778  -8.150129  sci.crypt\n",
              "2   -24.811195   5.841414  sci.crypt\n",
              "3   -23.533512   6.998471  sci.crypt\n",
              "4   -23.327581   2.978018  sci.crypt\n",
              "..         ...        ...        ...\n",
              "595  13.261472 -28.758375  sci.space\n",
              "596   4.294526 -32.239464  sci.space\n",
              "597  27.036417 -18.934540  sci.space\n",
              "598   4.773326 -21.166903  sci.space\n",
              "599   9.662366 -18.331491  sci.space\n",
              "\n",
              "[600 rows x 3 columns]"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_tsne = pd.DataFrame(tsne_results, columns=[\"TSNE1\", \"TSNE2\"])\n",
        "df_tsne[\"Class Name\"] = df_train[\n",
        "    \"Class Name\"\n",
        "]  # Add labels column from df_train to df_tsne\n",
        "df_tsne"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "pTj8HfhpbJ9X"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(8, 6))  # Set figsize\n",
        "sns.set_style(\"darkgrid\", {\"grid.color\": \".6\", \"grid.linestyle\": \":\"})\n",
        "sns.scatterplot(data=df_tsne, x=\"TSNE1\", y=\"TSNE2\", hue=\"Class Name\", palette=\"Set2\")\n",
        "sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
        "plt.title(\"Scatter plot of news using t-SNE\")\n",
        "plt.xlabel(\"TSNE1\")\n",
        "plt.ylabel(\"TSNE2\");"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8JQbX4pcMdBe"
      },
      "source": [
        "## Outlier detection\n",
        "\n",
        "To determine which points are anomalous, you will determine which points are inliers and outliers. Start by finding the centroid, or location that represents the center of the cluster, and use the distance to determine the points that are outliers.\n",
        "\n",
        "Start by getting the centroid of each category."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "nUIkLxtMK4qC"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"centroids\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"Class Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"sci.electronics\",\n          \"sci.space\",\n          \"sci.crypt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TSNE1\",\n      \"properties\": {\n        \"dtype\": \"float32\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          -11.396698951721191,\n          16.557491302490234,\n          -19.444419860839844\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TSNE2\",\n      \"properties\": {\n        \"dtype\": \"float32\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          15.218337059020996,\n          -20.563791275024414,\n          -3.684580087661743\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "centroids"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-14f0ca24-0e99-467d-b365-1597ff2d45de\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>TSNE1</th>\n",
              "      <th>TSNE2</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Class Name</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>sci.crypt</th>\n",
              "      <td>-19.444420</td>\n",
              "      <td>-3.684580</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sci.electronics</th>\n",
              "      <td>-11.396699</td>\n",
              "      <td>15.218337</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sci.med</th>\n",
              "      <td>15.847226</td>\n",
              "      <td>5.903560</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sci.space</th>\n",
              "      <td>16.557491</td>\n",
              "      <td>-20.563791</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-14f0ca24-0e99-467d-b365-1597ff2d45de')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "      background-color: #E8F0FE;\n",
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              "      fill: #D2E3FC;\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "        document.querySelector('#df-14f0ca24-0e99-467d-b365-1597ff2d45de button.colab-df-convert');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
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              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
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              "    60% {\n",
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              "    80% {\n",
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              "    90% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
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              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
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              "\n",
              "      .colab-df-generate:hover {\n",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('centroids')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('centroids');\n",
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              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                     TSNE1      TSNE2\n",
              "Class Name                           \n",
              "sci.crypt       -19.444420  -3.684580\n",
              "sci.electronics -11.396699  15.218337\n",
              "sci.med          15.847226   5.903560\n",
              "sci.space        16.557491 -20.563791"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "def get_centroids(df_tsne):\n",
        "    # Get the centroid of each cluster\n",
        "    centroids = df_tsne.groupby(\"Class Name\").mean()\n",
        "    return centroids\n",
        "\n",
        "\n",
        "centroids = get_centroids(df_tsne)\n",
        "centroids"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "GJH4Oo6E-r_6"
      },
      "outputs": [],
      "source": [
        "def get_embedding_centroids(df):\n",
        "    emb_centroids = dict()\n",
        "    grouped = df.groupby(\"Class Name\")\n",
        "    for c in grouped.groups:\n",
        "        sub_df = grouped.get_group(c)\n",
        "        # Get the centroid value of dimension 768\n",
        "        emb_centroids[c] = np.mean(sub_df[\"Embeddings\"], axis=0)\n",
        "\n",
        "    return emb_centroids"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "1tas9Yg4_iyq"
      },
      "outputs": [],
      "source": [
        "emb_c = get_embedding_centroids(df_train)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aMvdYLjKl32a"
      },
      "source": [
        "Plot each centroid you have found against the rest of the points."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "jpN02WY3Ogji"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plot the centroids against the cluster\n",
        "fig, ax = plt.subplots(figsize=(8, 6))  # Set figsize\n",
        "sns.set_style(\"darkgrid\", {\"grid.color\": \".6\", \"grid.linestyle\": \":\"})\n",
        "sns.scatterplot(data=df_tsne, x=\"TSNE1\", y=\"TSNE2\", hue=\"Class Name\", palette=\"Set2\")\n",
        "sns.scatterplot(\n",
        "    data=centroids,\n",
        "    x=\"TSNE1\",\n",
        "    y=\"TSNE2\",\n",
        "    color=\"black\",\n",
        "    marker=\"X\",\n",
        "    s=100,\n",
        "    label=\"Centroids\",\n",
        ")\n",
        "sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
        "plt.title(\"Scatter plot of news using t-SNE with centroids\")\n",
        "plt.xlabel(\"TSNE1\")\n",
        "plt.ylabel(\"TSNE2\");"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "onFfUf1XoEQW"
      },
      "source": [
        "Choose a radius. Anything beyond this bound from the centroid of that category is considered an outlier."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "87cDfNpvOu7f"
      },
      "outputs": [],
      "source": [
        "def calculate_euclidean_distance(p1, p2):\n",
        "    return np.sqrt(np.sum(np.square(p1 - p2)))\n",
        "\n",
        "\n",
        "def detect_outlier(df, emb_centroids, radius):\n",
        "    for idx, row in df.iterrows():\n",
        "        class_name = row[\"Class Name\"]  # Get class name of row\n",
        "        # Compare centroid distances\n",
        "        dist = calculate_euclidean_distance(\n",
        "            row[\"Embeddings\"], emb_centroids[class_name]\n",
        "        )\n",
        "        df.at[idx, \"Outlier\"] = dist > radius\n",
        "\n",
        "    return len(df[df[\"Outlier\"] == True])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "CsVsod5MKd3X"
      },
      "outputs": [],
      "source": [
        "range_ = np.arange(0.3, 0.75, 0.02).round(decimals=2).tolist()\n",
        "num_outliers = []\n",
        "for i in range_:\n",
        "    num_outliers.append(detect_outlier(df_train, emb_c, i))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "vReUSOjbNHQv"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1400x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plot range_ and num_outliers\n",
        "fig = plt.figure(figsize=(14, 8))\n",
        "plt.rcParams.update({\"font.size\": 12})\n",
        "plt.bar(list(map(str, range_)), num_outliers)\n",
        "plt.title(\"Number of outliers vs. distance of points from centroid\")\n",
        "plt.xlabel(\"Distance\")\n",
        "plt.ylabel(\"Number of outliers\")\n",
        "for i in range(len(range_)):\n",
        "    plt.text(i, num_outliers[i], num_outliers[i], ha=\"center\")\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gNISxrzwGvBH"
      },
      "source": [
        "Depending on how sensitive you want your anomaly detector to be, you can choose which radius you would like to use. For now, 0.62 is used, but you can change this value."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "PMNFFSDOTELn"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df_outliers\",\n  \"rows\": 498,\n  \"fields\": [\n    {\n      \"column\": \"Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 498,\n        \"samples\": [\n          \" Space FAQ 13/15 - Interest Groups & Publications\\nKeywords: Frequently Asked Questions\\nArticle-I.D.: cs.groups_733694492\\nExpires: 6 May 1993 20:01:32 GMT\\nDistribution: world\\nOrganization: University of North Carolina, Chapel Hill\\nLines: 354\\nSupersedes: <>\\nNNTP-Posting-Host: mahler.cs.unc.edu\\n\\nArchive-name: space/groups\\nLast-modified: $Date: 93/04/01 14:39:08 $\\n\\nSPACE ACTIVIST/INTEREST/RESEARCH GROUPS AND SPACE PUBLICATIONS\\n\\n    GROUPS\\n\\n    AIA -- Aerospace Industry Association. Professional group, with primary\\n\\tmembership of major aerospace firms. Headquartered in the DC area.\\n\\tActs as the \\\"voice of the aerospace industry\\\" -- and it's opinions\\n\\tare usually backed up by reams of analyses and the reputations of\\n\\tthe firms in AIA.\\n\\n\\t    [address needed]\\n\\n    AIAA -- American Institute of Aeronautics and Astronautics.\\n\\tProfessional association, with somewhere about 30,000-40,000\\n\\tmembers. 65 local chapters around the country -- largest chapters\\n\\tare DC area , LA , San Francisco , Seattle/NW , Houston  and Orange County\\n\\t, plus student chapters. Not a union, but acts to represent\\n\\taviation and space professionals  nationwide. Holds over 30 conferences a year on space and\\n\\taviation topics publishes technical Journals , technical reference books\\n\\tand is _THE_ source on current aerospace state of the art through\\n\\ttheir published papers and proceedings. Also offers continuing\\n\\teducation classes on aerospace design. Has over 60 technical\\n\\tcommittees, and over 30 committees for industry standards. AIAA acts\\n\\tas a professional society -- offers a centralized resume/jobs\\n\\tfunction, provides classes on job search, offers low-cost health and\\n\\tlife insurance, and lobbies for appropriate legislation . Very active public policy arm -- works\\n\\tdirectly with the media, congress and government agencies as a\\n\\tlegislative liaison and clearinghouse for inquiries about aerospace\\n\\ttechnology technical issues. Reasonably non-partisan, in that they\\n\\trepresent the industry as a whole, and not a single company,\\n\\torganization, or viewpoint.\\n\\n\\tMembership $70/yr .\\n\\n\\tAmerican Institute of Aeronautics and Astronautics\\n\\tThe Aerospace Center\\n\\t370 L'Enfant Promenade, SW\\n\\tWashington, DC 20077-0820\\n\\t-646-7400\\n\\n    AMSAT - develops small satellites  for a variety of\\n\\tuses by amateur radio enthusiasts. Has various publications,\\n\\tsupplies QuickTrak satellite tracking software for PC/Mac/Amiga etc.\\n\\n\\tAmateur Satellite Corporation \\n\\tP.O. Box 27\\n\\tWashington, DC 20044\\n\\t-589-6062\\n\\n    ASERA - Australian Space Engineering and Research Association. An\\n\\tAustralian non-profit organisation to coordinate, promote, and\\n\\tconduct space R&D projects in Australia, involving both Australian\\n\\tand international  collaborators. Activities\\n\\tinclude the development of sounding rockets, small satellites\\n\\t, high-altitude research balloons, and\\n\\tappropriate payloads. Provides student projects at all levels, and\\n\\tis open to any person or organisation interested in participating.\\n\\tPublishes a monthly newsletter and a quarterly technical journal.\\n\\n\\tMembership $A100 \\n\\tSubscriptions $A25  $A50 \\n\\n\\tASERA Ltd\\n\\tPO Box 184\\n\\tRyde, NSW, Australia, 2112\\n\\temail: \\n\\n    BIS - British Interplanetary Society. Probably the oldest pro-space\\n\\tgroup, BIS publishes two excellent journals: _Spaceflight_, covering\\n\\tcurrent space activities, and the _Journal of the BIS_, containing\\n\\ttechnical papers on space activities from near-term space probes to\\n\\tinterstellar missions. BIS has published a design study for an\\n\\tinterstellar probe called _Daedalus_.\\n\\n\\tBritish Interplanetary Society\\n\\t27/29 South Lambeth Road\\n\\tLondon SW8 1SZ\\n\\tENGLAND\\n\\n\\tNo dues information available at present.\\n\\n    ISU - International Space University. ISU is a non-profit international\\n\\tgraduate-level educational institution dedicated to promoting the\\n\\tpeaceful exploration and development of space through multi-cultural\\n\\tand multi-disciplinary space education and research. For further\\n\\tinformation on ISU's summer session program or Permanent Campus\\n\\tactivities please send messages to '' or\\n\\tcontact the ISU Executive Offices at:\\n\\n\\tInternational Space University\\n\\t955 Massachusetts Avenue 7th Floor\\n\\tCambridge, MA 02139\\n\\t-354-1987 \\n\\t-354-7666 \\n\\n    L-5 Society . Founded by Keith and Carolyn Henson in 1975 to\\n\\tadvocate space colonization. Its major success was in preventing US\\n\\tparticipation in the UN \\\"Moon Treaty\\\" in the late 1970s. Merged with\\n\\tthe National Space Institute in 1987, forming the National Space\\n\\tSociety.\\n\\n    NSC - National Space Club. Open for general membership, but not well\\n\\tknown at all. Primarily comprised of professionals in aerospace\\n\\tindustry. Acts as information conduit and social gathering group.\\n\\tActive in DC, with a chapter in LA. Monthly meetings with invited\\n\\tspeakers who are \\\"heavy hitters\\\" in the field. Annual \\\"Outlook on\\n\\tSpace\\\" conference is _the_ definitive source of data on government\\n\\tannual planning for space programs. Cheap membership .\\n\\n\\t    [address needed]\\n\\n    NSS - the National Space Society. NSS\",\n          \" Re: arcade style buttons and joysticks\\nOrganization: Antone's Italian Kitchen and Excellence in Operating Network\\nX-Newsreader: rusnews v1.02\\nLines: 26\\n\\n  writes:\\n\\n> Hi there,\\n> Can anyone tell me where it is possible to purchase controls found\\n> on most arcade style games.  Many projects I am working on would\\n> be greatly augmented if I could implement them.  Thanx in advance.\\n> \\n> -Dave\\n> \\n> \\n\\nContact Chris Arthur at \\nHe restores lots of old video and arcade games and knows where to get\\nparts.\\n\\nTony\\n\\n-----------------------------------------------------------------------\\n-- Anthony S. Pelliccio, kd1nr/ae    // Yes, you read it right, the  //\\n-- system @ garlic.sbs.com          // man who went from No-Code    //\\n-----------------------------------//  to Extra in     //\\n-- Flame Retardent Sysadmin       // exactly one year!            //\\n-------------------------------------------------------------------\\n-- This is a calm .sig! --\\n--------------------------\\n\\n\",\n          \"Re: Modified sense of taste in Cancer pt?\\nOrganization: University of Northern Iowa\\nLines: 16\\n\\nIn article <>,   writes:\\n> \\n> What does a lack of taste of foods, or a sense of taste that seems \\\"off\\\"\\n> when eating foods in someone who has cancer mean? What are the possible\\n> causes of this? Why does it happen?\\n\\nI can't answer most of your questions, but I've seen it happen in \\nfamily members who are being treated with radiation and/or chemotherapy.\\nJory Graham published a cookbook many years ago  called \\\"Something has to taste\\ngood\\\" .\\n\\nThe cookbook was just what we needed several times when favorite foods\\nsuddenly became \\\"yech\\\".\\n\\nKay Klier  Biology Dept  UNI\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 11,\n        \"max\": 14,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          12,\n          14,\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Class Name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"sci.electronics\",\n          \"sci.space\",\n          \"sci.crypt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Embeddings\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Outlier\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"True\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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              "      <th>1</th>\n",
              "      <td>Re: The [secret] source of that announcement\\...</td>\n",
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            ],
            "text/plain": [
              "                                                Text  Label Class Name  \\\n",
              "1   Re: The [secret] source of that announcement\\...     11  sci.crypt   \n",
              "3   Re: White House Wiretap Chip Disinformation S...     11  sci.crypt   \n",
              "5   Re: Why the clipper algorithm is secret\\nOrga...     11  sci.crypt   \n",
              "6   Re: Once tapped, your code is no good any mor...     11  sci.crypt   \n",
              "9  Graham Toal <>Re: The battle is joined\\nOrigin...     11  sci.crypt   \n",
              "\n",
              "                                          Embeddings Outlier  \n",
              "1  [0.027169958, 0.0180854, -0.079990745, 0.01548...    True  \n",
              "3  [0.011647083, 0.006911768, -0.028479766, 0.034...    True  \n",
              "5  [0.021074744, 0.08058417, 0.0095778825, 0.0386...    True  \n",
              "6  [0.03491447, 0.023669688, -0.049023017, 0.0275...    True  \n",
              "9  [0.05105832, -0.009382685, -0.035797328, 0.016...    True  "
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# View the points that are outliers\n",
        "RADIUS = 0.62\n",
        "detect_outlier(df_train, emb_c, RADIUS)\n",
        "df_outliers = df_train[df_train[\"Outlier\"] == True]\n",
        "df_outliers.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "h_wbM5yYE4MS"
      },
      "outputs": [],
      "source": [
        "# Use the index to map the outlier points back to the projected TSNE points\n",
        "outliers_projected = df_tsne.loc[df_outliers[\"Outlier\"].index]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xCt4wfYdoTJz"
      },
      "source": [
        "Plot the outliers and denote them using a transparent red color."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "IrAKwBp0TaNu"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig, ax = plt.subplots(figsize=(8, 6))  # Set figsize\n",
        "plt.rcParams.update({\"font.size\": 10})\n",
        "sns.set_style(\"darkgrid\", {\"grid.color\": \".6\", \"grid.linestyle\": \":\"})\n",
        "sns.scatterplot(data=df_tsne, x=\"TSNE1\", y=\"TSNE2\", hue=\"Class Name\", palette=\"Set2\")\n",
        "sns.scatterplot(\n",
        "    data=centroids,\n",
        "    x=\"TSNE1\",\n",
        "    y=\"TSNE2\",\n",
        "    color=\"black\",\n",
        "    marker=\"X\",\n",
        "    s=100,\n",
        "    label=\"Centroids\",\n",
        ")\n",
        "# Draw a red circle around the outliers\n",
        "sns.scatterplot(\n",
        "    data=outliers_projected,\n",
        "    x=\"TSNE1\",\n",
        "    y=\"TSNE2\",\n",
        "    color=\"red\",\n",
        "    marker=\"o\",\n",
        "    alpha=0.5,\n",
        "    s=90,\n",
        "    label=\"Outliers\",\n",
        ")\n",
        "sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
        "plt.title(\"Scatter plot of news with outliers projected with t-SNE\")\n",
        "plt.xlabel(\"TSNE1\")\n",
        "plt.ylabel(\"TSNE2\");"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RVm_A9HmGwEN"
      },
      "source": [
        "Use the index values of the datafames to print a few examples of what outliers can look like in each category. Here, the first data point from each category is printed out. Explore other points in each category to see data that are deemed as outliers, or anomalies."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "lpZ-hcDvG13M"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            " Re: The [secret] source of that announcement\n",
            "Organization: DSI/USCRPAC\n",
            "Lines: 23\n",
            "\n",
            "\n",
            " suggests using a common but restricted-distribution private\n",
            "key to allow public key system encrypted postings. In theory that will work\n",
            "fine as long as the privae key remains secure.\n",
            "\n",
            "In practice it would be a good idea to check to see if that would be a\n",
            "violation of some net rule, practice, custom, etc. I don't say it would be,\n",
            "just that it would be a good idea to check. This is not like rot13 where\n",
            "everybody can have the key trivially.\n",
            "\n",
            "It would also be a good idea to check to see if such posts would be\n",
            "forwarded by the sites needed to make the chain work.\n",
            "\n",
            "Of course there'd be no problem with a discussion group travelling over\n",
            "facilities entirely under the control of the members. Probably there would\n",
            "also be no problem with a mailing list approach. It might even  be fun for\n",
            "some.\n",
            "\n",
            "-- \n",
            "David Sternlight         Great care has been taken to ensure the accuracy of\n",
            "                         our information, errors and omissions excepted.  \n",
            "\n",
            "\n",
            "\n"
          ]
        }
      ],
      "source": [
        "sci_crypt_outliers = df_outliers[df_outliers[\"Class Name\"] == \"sci.crypt\"]\n",
        "print(sci_crypt_outliers[\"Text\"].iloc[0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "SPsQB3eHJN25"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            " Re: arcade style buttons and joysticks\n",
            "Organization: Antone's Italian Kitchen and Excellence in Operating Network\n",
            "X-Newsreader: rusnews v1.02\n",
            "Lines: 26\n",
            "\n",
            "  writes:\n",
            "\n",
            "> Hi there,\n",
            "> Can anyone tell me where it is possible to purchase controls found\n",
            "> on most arcade style games.  Many projects I am working on would\n",
            "> be greatly augmented if I could implement them.  Thanx in advance.\n",
            "> \n",
            "> -Dave\n",
            "> \n",
            "> \n",
            "\n",
            "Contact Chris Arthur at \n",
            "He restores lots of old video and arcade games and knows where to get\n",
            "parts.\n",
            "\n",
            "Tony\n",
            "\n",
            "-----------------------------------------------------------------------\n",
            "-- Anthony S. Pelliccio, kd1nr/ae    // Yes, you read it right, the  //\n",
            "-- system @ garlic.sbs.com          // man who went from No-Code    //\n",
            "-----------------------------------//  to Extra in     //\n",
            "-- Flame Retardent Sysadmin       // exactly one year!            //\n",
            "-------------------------------------------------------------------\n",
            "-- This is a calm .sig! --\n",
            "--------------------------\n",
            "\n",
            "\n"
          ]
        }
      ],
      "source": [
        "sci_elec_outliers = df_outliers[df_outliers[\"Class Name\"] == \"sci.electronics\"]\n",
        "print(sci_elec_outliers[\"Text\"].iloc[0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "APPg8TURJ9yt"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            " Re: Is MSG sensitivity superstition?\n",
            "Organization: your service\n",
            "Lines: 20\n",
            "NNTP-Posting-Host: hpctdkz.col.hp.com\n",
            "\n",
            "\n",
            "Jason Chen writes:\n",
            "> Now here is a new one: vomiting. My guess is that MSG becomes the number one\n",
            "> suspect of any problem. In this case. it might be just food poisoning. But\n",
            "> if you heard things about MSG, you may think it must be it.\n",
            "\n",
            "----------\n",
            "\n",
            "Yeah, it might, if you only read the part you quoted.  You somehow left \n",
            "out the part about \"we all ate the same thing.\"  Changes things a bit, eh?\n",
            "\n",
            "You complain that people blame MSG automatically, since it's an unknown and\n",
            "therefore must be the cause.  It is equally  unreasonable to\n",
            "defend it, automatically assuming that it CAN'T be the culprit.\n",
            "\n",
            "Pepper makes me sneeze.  If it doesn't affect you the same way, fine.\n",
            "Just don't tell me I'm wrong for saying so.\n",
            "\n",
            "These people aren't condemning Chinese food, Mr. Chen - just one of its \n",
            " ingredients.  Try not to take it so personally.\n",
            "\n"
          ]
        }
      ],
      "source": [
        "sci_med_outliers = df_outliers[df_outliers[\"Class Name\"] == \"sci.med\"]\n",
        "print(sci_med_outliers[\"Text\"].iloc[0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "WeoJF7c8KB49"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            " Re: Abyss--breathing fluids\n",
            "Organization: U.C. Berkeley Math. Department.\n",
            "Lines: 19\n",
            "NNTP-Posting-Host: skippy.berkeley.edu\n",
            "\n",
            "Are breathable liquids possible?\n",
            "\n",
            "I remember seeing an old Nova or The Nature of Things where this idea was\n",
            "touched upon .  If nothing else, I know\n",
            "such liquids ARE possible because...\n",
            "\n",
            "They showed a large glass full of this liquid, and put a white mouse  in\n",
            "it.  Since the liquid was not dense, the mouse would float, so it was held down\n",
            "by tongs clutching its tail.  The thing struggled quite a bit, but it was\n",
            "certainly held down long enough so that it was breathing the liquid.  It never\n",
            "did slow down in its frantic attempts to swim to the top.\n",
            "\n",
            "Now, this may not have been the most humane of demonstrations, but it certainly\n",
            "shows breathable liquids can be made.\n",
            "-- \n",
            "*Isaac Kuo \t*       ___\n",
            "*\t\t\t\t\t* _____/_o_\\_____\n",
            "*\tTwinkle, twinkle, little .sig,\t*(====)\n",
            "*\tKeep it less than 5 lines big.\t* \\==\\/     \\/==/\n",
            "\n"
          ]
        }
      ],
      "source": [
        "sci_space_outliers = df_outliers[df_outliers[\"Class Name\"] == \"sci.space\"]\n",
        "print(sci_space_outliers[\"Text\"].iloc[0])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "siaPlEJhh0pr"
      },
      "source": [
        "## Next steps\n",
        "\n",
        "You've now created an anomaly detector using embeddings! Try using your own textual data to visualize them as embeddings, and choose some bound such that you can detect outliers. You can perform dimensionality reduction in order to complete the visualization step. Note that t-SNE is good at clustering inputs, but can take a longer time to converge or might get stuck at local minima. If you run into this issue, another technique you could consider are [principal components analysis (PCA)](https://en.wikipedia.org/wiki/Principal_component_analysis)."
      ]
    }
  ],
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