demo.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "THNg6-7KHS_3"
      },
      "source": [
        "# Demo - Time Series Forecasting with TabPFN  🎉\n",
        "\n",
        "Welcome to the demo of TabPFN for time series forecasting!\n",
        "\n",
        "In this demo, we will show you how to use TabPFN for time series forecasting. Concretely, we will:\n",
        "\n",
        "1. **Load time series data** -- you can also bring in time series data from your own problem\n",
        "2. **Add features** -- we will use default features, but feel free to experiment with your own features!\n",
        "3. **Perform prediction** -- zero-shot! 😉\n",
        "4. **Visualize the forecasting results**\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DXelGyzKHcbk"
      },
      "source": [
        "## Setup"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "XkWgEXcvHahV"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
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          ]
        }
      ],
      "source": [
        "!pip install tabpfn-time-series\n",
        "\n",
        "# for downloading datasets\n",
        "!pip install datasets"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kNOAk5sPHS_3"
      },
      "source": [
        "## Load Time Series Data\n",
        "\n",
        "In this demo, we will use the time series dataset from [Chronos Dataset](https://huggingface.co/datasets/autogluon/chronos_datasets) on HuggingFace. Also, we'll keep it short and work with just 2 time series from the dataset.\n",
        "\n",
        "Feel free to explore other datasets by using the dataset names from Chronos Dataset on HuggingFace or even use time series data of your own problem."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "qgHudyQdHS_3"
      },
      "outputs": [],
      "source": [
        "dataset_metadata = {\n",
        "    \"monash_tourism_monthly\": {\"prediction_length\": 24},\n",
        "    \"m4_hourly\": {\"prediction_length\": 48},\n",
        "}\n",
        "\n",
        "dataset_choice = \"monash_tourism_monthly\"\n",
        "num_time_series_subset = 2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "Qc1mHevjHS_4"
      },
      "outputs": [],
      "source": [
        "from datasets import load_dataset\n",
        "from autogluon.timeseries import TimeSeriesDataFrame\n",
        "\n",
        "from tabpfn_time_series.data_preparation import to_gluonts_univariate, generate_test_X\n",
        "\n",
        "prediction_length = dataset_metadata[dataset_choice]['prediction_length']\n",
        "dataset = load_dataset(\"autogluon/chronos_datasets\", dataset_choice)\n",
        "\n",
        "tsdf = TimeSeriesDataFrame(to_gluonts_univariate(dataset['train']))\n",
        "tsdf = tsdf[tsdf.index.get_level_values('item_id').isin(tsdf.item_ids[:num_time_series_subset])]\n",
        "train_tsdf, test_tsdf_ground_truth = tsdf.train_test_split(prediction_length=prediction_length)\n",
        "test_tsdf = generate_test_X(train_tsdf, prediction_length)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cKH8WtXdHS_4"
      },
      "source": [
        "Let's take a look at the time series data."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 512
        },
        "id": "jOm8_GLEHS_4",
        "outputId": "e320ddfe-62d8-4267-c4d1-f76c8986c4db"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from tabpfn_time_series.plot import plot_actual_ts\n",
        "\n",
        "plot_actual_ts(train_tsdf, test_tsdf_ground_truth)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UWmQq17tHS_4"
      },
      "source": [
        "## Adding Features\n",
        "\n",
        "In our paper, we propose adding `running_index` and `calendar_features` to the table.\n",
        "\n",
        "**Feel free to experiment with your own features!**\n",
        "\n",
        "To do that, simply define your own feature functions and pass them to the `FeatureTransformer`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "jKWF7CrmHS_5"
      },
      "outputs": [],
      "source": [
        "from tabpfn_time_series import FeatureTransformer, DefaultFeatures\n",
        "\n",
        "selected_features = [\n",
        "    DefaultFeatures.add_running_index,\n",
        "    DefaultFeatures.add_calendar_features,\n",
        "]\n",
        "\n",
        "train_tsdf, test_tsdf = FeatureTransformer.add_features(\n",
        "    train_tsdf, test_tsdf, selected_features\n",
        ")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N9WZ46ywJylH"
      },
      "source": [
        "Let's take a look at the tables (train and test) before we proceed to do predictions.\n",
        "\n",
        "✅ Realize that we have added some features into the tables."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 258
        },
        "id": "tnKwZbngJx0X",
        "outputId": "810160ee-e382-4842-c483-08fbf8b2e0c7"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<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></th>\n",
              "      <th>target</th>\n",
              "      <th>running_index</th>\n",
              "      <th>year</th>\n",
              "      <th>hour_of_day_sin</th>\n",
              "      <th>hour_of_day_cos</th>\n",
              "      <th>day_of_week_sin</th>\n",
              "      <th>day_of_week_cos</th>\n",
              "      <th>day_of_month_sin</th>\n",
              "      <th>day_of_month_cos</th>\n",
              "      <th>day_of_year_sin</th>\n",
              "      <th>day_of_year_cos</th>\n",
              "      <th>week_of_year_sin</th>\n",
              "      <th>week_of_year_cos</th>\n",
              "      <th>month_of_year_sin</th>\n",
              "      <th>month_of_year_cos</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>item_id</th>\n",
              "      <th>timestamp</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
              "      <th>1979-01-31</th>\n",
              "      <td>1149.8700</td>\n",
              "      <td>0</td>\n",
              "      <td>1979</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>8.660254e-01</td>\n",
              "      <td>-0.5</td>\n",
              "      <td>0.106293</td>\n",
              "      <td>0.994335</td>\n",
              "      <td>0.495009</td>\n",
              "      <td>0.868888</td>\n",
              "      <td>0.473094</td>\n",
              "      <td>0.881012</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-02-28</th>\n",
              "      <td>1053.8002</td>\n",
              "      <td>1</td>\n",
              "      <td>1979</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>8.660254e-01</td>\n",
              "      <td>-0.5</td>\n",
              "      <td>-0.507666</td>\n",
              "      <td>0.861554</td>\n",
              "      <td>0.842101</td>\n",
              "      <td>0.539320</td>\n",
              "      <td>0.833602</td>\n",
              "      <td>0.552365</td>\n",
              "      <td>0.540641</td>\n",
              "      <td>0.841254</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-03-31</th>\n",
              "      <td>1388.8798</td>\n",
              "      <td>2</td>\n",
              "      <td>1979</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>-8.660254e-01</td>\n",
              "      <td>0.5</td>\n",
              "      <td>0.106293</td>\n",
              "      <td>0.994335</td>\n",
              "      <td>0.999404</td>\n",
              "      <td>0.034516</td>\n",
              "      <td>0.995734</td>\n",
              "      <td>0.092268</td>\n",
              "      <td>0.909632</td>\n",
              "      <td>0.415415</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-04-30</th>\n",
              "      <td>1783.3702</td>\n",
              "      <td>3</td>\n",
              "      <td>1979</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.0</td>\n",
              "      <td>-0.106293</td>\n",
              "      <td>0.994335</td>\n",
              "      <td>0.885456</td>\n",
              "      <td>-0.464723</td>\n",
              "      <td>0.866025</td>\n",
              "      <td>-0.500000</td>\n",
              "      <td>0.989821</td>\n",
              "      <td>-0.142315</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-05-31</th>\n",
              "      <td>1921.0252</td>\n",
              "      <td>4</td>\n",
              "      <td>1979</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.224647e-16</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>0.106293</td>\n",
              "      <td>0.994335</td>\n",
              "      <td>0.524704</td>\n",
              "      <td>-0.851284</td>\n",
              "      <td>0.526432</td>\n",
              "      <td>-0.850217</td>\n",
              "      <td>0.755750</td>\n",
              "      <td>-0.654861</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                       target  running_index  year  hour_of_day_sin  \\\n",
              "item_id timestamp                                                     \n",
              "0       1979-01-31  1149.8700              0  1979              0.0   \n",
              "        1979-02-28  1053.8002              1  1979              0.0   \n",
              "        1979-03-31  1388.8798              2  1979              0.0   \n",
              "        1979-04-30  1783.3702              3  1979              0.0   \n",
              "        1979-05-31  1921.0252              4  1979              0.0   \n",
              "\n",
              "                    hour_of_day_cos  day_of_week_sin  day_of_week_cos  \\\n",
              "item_id timestamp                                                       \n",
              "0       1979-01-31              1.0     8.660254e-01             -0.5   \n",
              "        1979-02-28              1.0     8.660254e-01             -0.5   \n",
              "        1979-03-31              1.0    -8.660254e-01              0.5   \n",
              "        1979-04-30              1.0     0.000000e+00              1.0   \n",
              "        1979-05-31              1.0     1.224647e-16             -1.0   \n",
              "\n",
              "                    day_of_month_sin  day_of_month_cos  day_of_year_sin  \\\n",
              "item_id timestamp                                                         \n",
              "0       1979-01-31          0.106293          0.994335         0.495009   \n",
              "        1979-02-28         -0.507666          0.861554         0.842101   \n",
              "        1979-03-31          0.106293          0.994335         0.999404   \n",
              "        1979-04-30         -0.106293          0.994335         0.885456   \n",
              "        1979-05-31          0.106293          0.994335         0.524704   \n",
              "\n",
              "                    day_of_year_cos  week_of_year_sin  week_of_year_cos  \\\n",
              "item_id timestamp                                                         \n",
              "0       1979-01-31         0.868888          0.473094          0.881012   \n",
              "        1979-02-28         0.539320          0.833602          0.552365   \n",
              "        1979-03-31         0.034516          0.995734          0.092268   \n",
              "        1979-04-30        -0.464723          0.866025         -0.500000   \n",
              "        1979-05-31        -0.851284          0.526432         -0.850217   \n",
              "\n",
              "                    month_of_year_sin  month_of_year_cos  \n",
              "item_id timestamp                                         \n",
              "0       1979-01-31           0.000000           1.000000  \n",
              "        1979-02-28           0.540641           0.841254  \n",
              "        1979-03-31           0.909632           0.415415  \n",
              "        1979-04-30           0.989821          -0.142315  \n",
              "        1979-05-31           0.755750          -0.654861  "
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "train_tsdf.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 258
        },
        "id": "yKaNq3RAKMH9",
        "outputId": "e844c523-b3a1-4598-f3db-b6c2922c4fff"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th>target</th>\n",
              "      <th>running_index</th>\n",
              "      <th>year</th>\n",
              "      <th>hour_of_day_sin</th>\n",
              "      <th>hour_of_day_cos</th>\n",
              "      <th>day_of_week_sin</th>\n",
              "      <th>day_of_week_cos</th>\n",
              "      <th>day_of_month_sin</th>\n",
              "      <th>day_of_month_cos</th>\n",
              "      <th>day_of_year_sin</th>\n",
              "      <th>day_of_year_cos</th>\n",
              "      <th>week_of_year_sin</th>\n",
              "      <th>week_of_year_cos</th>\n",
              "      <th>month_of_year_sin</th>\n",
              "      <th>month_of_year_cos</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>item_id</th>\n",
              "      <th>timestamp</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
              "      <th>1992-08-31</th>\n",
              "      <td>NaN</td>\n",
              "      <td>163</td>\n",
              "      <td>1992</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.106293</td>\n",
              "      <td>0.994335</td>\n",
              "      <td>-0.868888</td>\n",
              "      <td>-4.950088e-01</td>\n",
              "      <td>-0.920906</td>\n",
              "      <td>-0.389786</td>\n",
              "      <td>-7.557496e-01</td>\n",
              "      <td>-0.654861</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-09-30</th>\n",
              "      <td>NaN</td>\n",
              "      <td>164</td>\n",
              "      <td>1992</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>8.660254e-01</td>\n",
              "      <td>-0.5</td>\n",
              "      <td>-0.106293</td>\n",
              "      <td>0.994335</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>-1.836970e-16</td>\n",
              "      <td>-0.995734</td>\n",
              "      <td>0.092268</td>\n",
              "      <td>-9.898214e-01</td>\n",
              "      <td>-0.142315</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-10-31</th>\n",
              "      <td>NaN</td>\n",
              "      <td>165</td>\n",
              "      <td>1992</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>-8.660254e-01</td>\n",
              "      <td>0.5</td>\n",
              "      <td>0.106293</td>\n",
              "      <td>0.994335</td>\n",
              "      <td>-0.860214</td>\n",
              "      <td>5.099326e-01</td>\n",
              "      <td>-0.833602</td>\n",
              "      <td>0.552365</td>\n",
              "      <td>-9.096320e-01</td>\n",
              "      <td>0.415415</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-11-30</th>\n",
              "      <td>NaN</td>\n",
              "      <td>166</td>\n",
              "      <td>1992</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.0</td>\n",
              "      <td>-0.106293</td>\n",
              "      <td>0.994335</td>\n",
              "      <td>-0.495009</td>\n",
              "      <td>8.688880e-01</td>\n",
              "      <td>-0.361242</td>\n",
              "      <td>0.932472</td>\n",
              "      <td>-5.406408e-01</td>\n",
              "      <td>0.841254</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-12-31</th>\n",
              "      <td>NaN</td>\n",
              "      <td>167</td>\n",
              "      <td>1992</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.224647e-16</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>0.106293</td>\n",
              "      <td>0.994335</td>\n",
              "      <td>0.017261</td>\n",
              "      <td>9.998510e-01</td>\n",
              "      <td>0.122888</td>\n",
              "      <td>0.992421</td>\n",
              "      <td>-1.133108e-15</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    target  running_index  year  hour_of_day_sin  \\\n",
              "item_id timestamp                                                  \n",
              "0       1992-08-31     NaN            163  1992              0.0   \n",
              "        1992-09-30     NaN            164  1992              0.0   \n",
              "        1992-10-31     NaN            165  1992              0.0   \n",
              "        1992-11-30     NaN            166  1992              0.0   \n",
              "        1992-12-31     NaN            167  1992              0.0   \n",
              "\n",
              "                    hour_of_day_cos  day_of_week_sin  day_of_week_cos  \\\n",
              "item_id timestamp                                                       \n",
              "0       1992-08-31              1.0     0.000000e+00              1.0   \n",
              "        1992-09-30              1.0     8.660254e-01             -0.5   \n",
              "        1992-10-31              1.0    -8.660254e-01              0.5   \n",
              "        1992-11-30              1.0     0.000000e+00              1.0   \n",
              "        1992-12-31              1.0     1.224647e-16             -1.0   \n",
              "\n",
              "                    day_of_month_sin  day_of_month_cos  day_of_year_sin  \\\n",
              "item_id timestamp                                                         \n",
              "0       1992-08-31          0.106293          0.994335        -0.868888   \n",
              "        1992-09-30         -0.106293          0.994335        -1.000000   \n",
              "        1992-10-31          0.106293          0.994335        -0.860214   \n",
              "        1992-11-30         -0.106293          0.994335        -0.495009   \n",
              "        1992-12-31          0.106293          0.994335         0.017261   \n",
              "\n",
              "                    day_of_year_cos  week_of_year_sin  week_of_year_cos  \\\n",
              "item_id timestamp                                                         \n",
              "0       1992-08-31    -4.950088e-01         -0.920906         -0.389786   \n",
              "        1992-09-30    -1.836970e-16         -0.995734          0.092268   \n",
              "        1992-10-31     5.099326e-01         -0.833602          0.552365   \n",
              "        1992-11-30     8.688880e-01         -0.361242          0.932472   \n",
              "        1992-12-31     9.998510e-01          0.122888          0.992421   \n",
              "\n",
              "                    month_of_year_sin  month_of_year_cos  \n",
              "item_id timestamp                                         \n",
              "0       1992-08-31      -7.557496e-01          -0.654861  \n",
              "        1992-09-30      -9.898214e-01          -0.142315  \n",
              "        1992-10-31      -9.096320e-01           0.415415  \n",
              "        1992-11-30      -5.406408e-01           0.841254  \n",
              "        1992-12-31      -1.133108e-15           1.000000  "
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "test_tsdf.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CqNGS6a0HS_5"
      },
      "source": [
        "## Prediction"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iAh9dvY5HS_5"
      },
      "source": [
        "Now, let's perform prediction.\n",
        "\n",
        "We provide two options, `TabPFNMode.LOCAL` and `TabPFNMode.CLIENT`, as the backend for TabPFN.\n",
        "\n",
        "- `TabPFNMode.LOCAL` uses your local machine to run TabPFN.\n",
        "- `TabPFNMode.CLIENT` uses TabPFN's inference service provided by [tabpfn-client](https://github.com/automl/tabpfn-client)\n",
        "\n",
        "For this demo, we'll use `TabPFNMode.CLIENT` to perform prediction. If you have not use the client before, you'll be prompted to create an account.\n",
        "\n",
        "Note: if your machine doesn't have a GPU, using `TabPFNMode.CLIENT` is recommended -- must faster 😉.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v_gi5gDFHS_5",
        "outputId": "c710a7a3-1b2b-4253-8071-fc5754d909ae"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "  Welcome Back! Found existing access token, reusing it for authentication.\n",
            "  Welcome Back! Found existing access token, reusing it for authentication.\n",
            "  Welcome Back! Found existing access token, reusing it for authentication.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Processing: 100%|██████████| [00:01<00:00]\n",
            "Processing: 100%|██████████| [00:02<00:00]\n"
          ]
        }
      ],
      "source": [
        "from tabpfn_time_series import TabPFNTimeSeriesPredictor, TabPFNMode\n",
        "\n",
        "predictor = TabPFNTimeSeriesPredictor(\n",
        "    tabpfn_mode=TabPFNMode.CLIENT,\n",
        ")\n",
        "\n",
        "pred = predictor.predict(train_tsdf, test_tsdf)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "toHiW8LeHS_5"
      },
      "source": [
        "## Visualize the Results\n",
        "\n",
        "Let's visualize the forecasting results.\n",
        "\n",
        "Also, note that we provide both **point prediction** and **quantile prediction**, how amazing! 😄"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 512
        },
        "id": "FCxt23reHS_5",
        "outputId": "5f639a2c-f5a8-4173-8800-32e4672e4cc3"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from tabpfn_time_series.plot import plot_pred_and_actual_ts\n",
        "\n",
        "plot_pred_and_actual_ts(\n",
        "    train=train_tsdf,\n",
        "    test=test_tsdf_ground_truth,\n",
        "    pred=pred,\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 258
        },
        "id": "_EJU0ILwHS_5",
        "outputId": "08d07910-ab43-4e0c-b00f-99eb30ffeb56"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<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></th>\n",
              "      <th>target</th>\n",
              "      <th>0.1</th>\n",
              "      <th>0.2</th>\n",
              "      <th>0.3</th>\n",
              "      <th>0.4</th>\n",
              "      <th>0.5</th>\n",
              "      <th>0.6</th>\n",
              "      <th>0.7</th>\n",
              "      <th>0.8</th>\n",
              "      <th>0.9</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>item_id</th>\n",
              "      <th>timestamp</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
              "      <th>1992-08-31</th>\n",
              "      <td>6611.764160</td>\n",
              "      <td>6161.928711</td>\n",
              "      <td>6321.200195</td>\n",
              "      <td>6431.415039</td>\n",
              "      <td>6524.588867</td>\n",
              "      <td>6611.764160</td>\n",
              "      <td>6706.739746</td>\n",
              "      <td>6810.077148</td>\n",
              "      <td>6940.304688</td>\n",
              "      <td>7141.232422</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-09-30</th>\n",
              "      <td>4181.602539</td>\n",
              "      <td>3886.891113</td>\n",
              "      <td>3985.798340</td>\n",
              "      <td>4058.571533</td>\n",
              "      <td>4121.998047</td>\n",
              "      <td>4181.602539</td>\n",
              "      <td>4242.763184</td>\n",
              "      <td>4316.346191</td>\n",
              "      <td>4418.898926</td>\n",
              "      <td>4576.833984</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-10-31</th>\n",
              "      <td>3078.717529</td>\n",
              "      <td>2833.759033</td>\n",
              "      <td>2917.905273</td>\n",
              "      <td>2978.101807</td>\n",
              "      <td>3030.161865</td>\n",
              "      <td>3078.717529</td>\n",
              "      <td>3129.331543</td>\n",
              "      <td>3186.600098</td>\n",
              "      <td>3258.703857</td>\n",
              "      <td>3367.546875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-11-30</th>\n",
              "      <td>1972.623535</td>\n",
              "      <td>1769.138672</td>\n",
              "      <td>1838.883667</td>\n",
              "      <td>1888.717407</td>\n",
              "      <td>1931.353394</td>\n",
              "      <td>1972.623535</td>\n",
              "      <td>2012.964233</td>\n",
              "      <td>2059.179443</td>\n",
              "      <td>2112.888428</td>\n",
              "      <td>2189.614746</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-12-31</th>\n",
              "      <td>2365.048340</td>\n",
              "      <td>2118.352051</td>\n",
              "      <td>2211.384033</td>\n",
              "      <td>2272.715088</td>\n",
              "      <td>2321.381104</td>\n",
              "      <td>2365.048340</td>\n",
              "      <td>2407.733398</td>\n",
              "      <td>2452.551270</td>\n",
              "      <td>2503.283203</td>\n",
              "      <td>2573.158203</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                         target          0.1          0.2          0.3  \\\n",
              "item_id timestamp                                                        \n",
              "0       1992-08-31  6611.764160  6161.928711  6321.200195  6431.415039   \n",
              "        1992-09-30  4181.602539  3886.891113  3985.798340  4058.571533   \n",
              "        1992-10-31  3078.717529  2833.759033  2917.905273  2978.101807   \n",
              "        1992-11-30  1972.623535  1769.138672  1838.883667  1888.717407   \n",
              "        1992-12-31  2365.048340  2118.352051  2211.384033  2272.715088   \n",
              "\n",
              "                            0.4          0.5          0.6          0.7  \\\n",
              "item_id timestamp                                                        \n",
              "0       1992-08-31  6524.588867  6611.764160  6706.739746  6810.077148   \n",
              "        1992-09-30  4121.998047  4181.602539  4242.763184  4316.346191   \n",
              "        1992-10-31  3030.161865  3078.717529  3129.331543  3186.600098   \n",
              "        1992-11-30  1931.353394  1972.623535  2012.964233  2059.179443   \n",
              "        1992-12-31  2321.381104  2365.048340  2407.733398  2452.551270   \n",
              "\n",
              "                            0.8          0.9  \n",
              "item_id timestamp                             \n",
              "0       1992-08-31  6940.304688  7141.232422  \n",
              "        1992-09-30  4418.898926  4576.833984  \n",
              "        1992-10-31  3258.703857  3367.546875  \n",
              "        1992-11-30  2112.888428  2189.614746  \n",
              "        1992-12-31  2503.283203  2573.158203  "
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "pred.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SlKBzRphHS_6"
      },
      "source": [
        "# Feedback\n",
        "\n",
        "Let us know what you think!\n",
        "\n",
        "Write us at Discord: https://discord.gg/qK7AaXPN or just simply create an issue on [GitHub](https://github.com/liam-sbhoo/tabpfn-time-series/tree/main).\n",
        "\n",
        "Thank you for trying out our method! 🎉\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nCcLCcwZHS_6"
      },
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "tabpfn-time-series",
      "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": "3.10.16"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}