{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualize Features\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ekorpkit.base:IPython version: (6, 9, 0), client: jupyter_client\n",
      "INFO:ekorpkit.base:Google Colab not detected.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "version: 0.1.35+0.g69734d6.dirty\n",
      "is notebook? True\n",
      "is colab? False\n",
      "evironment varialbles:\n",
      "{'CUDA_DEVICE_ORDER': None,\n",
      " 'CUDA_VISIBLE_DEVICES': None,\n",
      " 'EKORPKIT_CONFIG_DIR': '/workspace/projects/ekorpkit-book/config',\n",
      " 'EKORPKIT_DATA_DIR': None,\n",
      " 'EKORPKIT_LOG_LEVEL': 'WARNING',\n",
      " 'EKORPKIT_PROJECT': 'ekorpkit-book',\n",
      " 'EKORPKIT_WORKSPACE_ROOT': '/workspace',\n",
      " 'KMP_DUPLICATE_LIB_OK': 'TRUE',\n",
      " 'NUM_WORKERS': 230}\n"
     ]
    }
   ],
   "source": [
    "%config InlineBackend.figure_format='retina'\n",
    "from ekorpkit import eKonf\n",
    "\n",
    "eKonf.setLogger(\"WARNING\")\n",
    "print(\"version:\", eKonf.__version__)\n",
    "print(\"is notebook?\", eKonf.is_notebook())\n",
    "print(\"is colab?\", eKonf.is_colab())\n",
    "print(\"evironment varialbles:\")\n",
    "eKonf.print(eKonf.env().dict())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pydantic.types.SecretStr"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start_year = 1999\n",
    "data_dir = \"../data/fomc\"\n",
    "eKonf.env().FRED_API_KEY\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build and load a feature set with tones\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>target</th>\n",
       "      <th>prev_decision</th>\n",
       "      <th>GDP_diff_prev</th>\n",
       "      <th>PMI</th>\n",
       "      <th>EMP_diff_prev</th>\n",
       "      <th>RSALES_diff_year</th>\n",
       "      <th>UNEMP_diff_prev</th>\n",
       "      <th>HSALES_diff_year</th>\n",
       "      <th>Inertia_diff</th>\n",
       "      <th>Balanced_diff</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</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>1982-10-05</th>\n",
       "      <td>Cut</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.456199</td>\n",
       "      <td>38.8</td>\n",
       "      <td>-0.201426</td>\n",
       "      <td>2.094256</td>\n",
       "      <td>3.061224</td>\n",
       "      <td>42.307692</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-11-16</th>\n",
       "      <td>Cut</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.382299</td>\n",
       "      <td>39.4</td>\n",
       "      <td>-0.309476</td>\n",
       "      <td>2.094256</td>\n",
       "      <td>2.970297</td>\n",
       "      <td>34.831461</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-12-21</th>\n",
       "      <td>Hold</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.382299</td>\n",
       "      <td>39.2</td>\n",
       "      <td>-0.136097</td>\n",
       "      <td>2.094256</td>\n",
       "      <td>3.846154</td>\n",
       "      <td>45.026178</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983-01-14</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.382299</td>\n",
       "      <td>42.8</td>\n",
       "      <td>-0.016895</td>\n",
       "      <td>2.094256</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.004376</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983-01-21</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.382299</td>\n",
       "      <td>42.8</td>\n",
       "      <td>-0.016895</td>\n",
       "      <td>2.094256</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.004376</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-03</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.570948</td>\n",
       "      <td>60.5</td>\n",
       "      <td>0.288624</td>\n",
       "      <td>8.474656</td>\n",
       "      <td>-9.615385</td>\n",
       "      <td>-26.135217</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-15</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.570948</td>\n",
       "      <td>60.6</td>\n",
       "      <td>0.437147</td>\n",
       "      <td>10.977142</td>\n",
       "      <td>-8.695652</td>\n",
       "      <td>-11.163337</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-26</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.570948</td>\n",
       "      <td>58.8</td>\n",
       "      <td>0.395555</td>\n",
       "      <td>9.101289</td>\n",
       "      <td>-7.142857</td>\n",
       "      <td>-3.673938</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-03-16</th>\n",
       "      <td>Hike</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.680778</td>\n",
       "      <td>58.6</td>\n",
       "      <td>0.476814</td>\n",
       "      <td>9.076698</td>\n",
       "      <td>-5.000000</td>\n",
       "      <td>3.125000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-04</th>\n",
       "      <td>Hike</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.355417</td>\n",
       "      <td>57.1</td>\n",
       "      <td>0.283658</td>\n",
       "      <td>-0.034915</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-26.946848</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>415 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           target  prev_decision  GDP_diff_prev   PMI  EMP_diff_prev  \\\n",
       "date                                                                   \n",
       "1982-10-05    Cut            0.0       0.456199  38.8      -0.201426   \n",
       "1982-11-16    Cut           -1.0      -0.382299  39.4      -0.309476   \n",
       "1982-12-21   Hold           -1.0      -0.382299  39.2      -0.136097   \n",
       "1983-01-14   Hold            0.0      -0.382299  42.8      -0.016895   \n",
       "1983-01-21   Hold            0.0      -0.382299  42.8      -0.016895   \n",
       "...           ...            ...            ...   ...            ...   \n",
       "2021-11-03   Hold            0.0       0.570948  60.5       0.288624   \n",
       "2021-12-15   Hold            0.0       0.570948  60.6       0.437147   \n",
       "2022-01-26   Hold            0.0       0.570948  58.8       0.395555   \n",
       "2022-03-16   Hike            0.0       1.680778  58.6       0.476814   \n",
       "2022-05-04   Hike            1.0      -0.355417  57.1       0.283658   \n",
       "\n",
       "            RSALES_diff_year  UNEMP_diff_prev  HSALES_diff_year  Inertia_diff  \\\n",
       "date                                                                            \n",
       "1982-10-05          2.094256         3.061224         42.307692           0.0   \n",
       "1982-11-16          2.094256         2.970297         34.831461           0.0   \n",
       "1982-12-21          2.094256         3.846154         45.026178           0.0   \n",
       "1983-01-14          2.094256         0.000000         14.004376           0.0   \n",
       "1983-01-21          2.094256         0.000000         14.004376           0.0   \n",
       "...                      ...              ...               ...           ...   \n",
       "2021-11-03          8.474656        -9.615385        -26.135217           0.0   \n",
       "2021-12-15         10.977142        -8.695652        -11.163337           0.0   \n",
       "2022-01-26          9.101289        -7.142857         -3.673938           0.0   \n",
       "2022-03-16          9.076698        -5.000000          3.125000           0.0   \n",
       "2022-05-04         -0.034915         0.000000        -26.946848           0.0   \n",
       "\n",
       "            Balanced_diff  \n",
       "date                       \n",
       "1982-10-05            0.0  \n",
       "1982-11-16            0.0  \n",
       "1982-12-21            0.0  \n",
       "1983-01-14            0.0  \n",
       "1983-01-21            0.0  \n",
       "...                   ...  \n",
       "2021-11-03            0.0  \n",
       "2021-12-15            0.0  \n",
       "2022-01-26            0.0  \n",
       "2022-03-16            0.0  \n",
       "2022-05-04            0.0  \n",
       "\n",
       "[415 rows x 10 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "econ_train_small = eKonf.load_data(\"econ_train_small.parquet\", data_dir)\n",
    "econ_train_small\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>target</th>\n",
       "      <th>prev_decision</th>\n",
       "      <th>GDP_diff_prev</th>\n",
       "      <th>PMI</th>\n",
       "      <th>EMP_diff_prev</th>\n",
       "      <th>RSALES_diff_year</th>\n",
       "      <th>UNEMP_diff_prev</th>\n",
       "      <th>HSALES_diff_year</th>\n",
       "      <th>Inertia_diff</th>\n",
       "      <th>Balanced_diff</th>\n",
       "      <th>...</th>\n",
       "      <th>polarity_diffusion_statement</th>\n",
       "      <th>finbert_diffusion_minutes</th>\n",
       "      <th>finbert_diffusion_speech</th>\n",
       "      <th>finbert_diffusion_statement</th>\n",
       "      <th>t5_diffusion_minutes</th>\n",
       "      <th>t5_diffusion_speech</th>\n",
       "      <th>t5_diffusion_statement</th>\n",
       "      <th>lm_tones</th>\n",
       "      <th>finbert_tones</th>\n",
       "      <th>t5_tones</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</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",
       "      <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>1999-02-03</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.616191</td>\n",
       "      <td>46.8</td>\n",
       "      <td>0.286880</td>\n",
       "      <td>4.952373</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.672131</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.363636</td>\n",
       "      <td>0.662069</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.636364</td>\n",
       "      <td>0.420690</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>-0.243343</td>\n",
       "      <td>0.506885</td>\n",
       "      <td>0.222721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-03-30</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.616191</td>\n",
       "      <td>51.7</td>\n",
       "      <td>0.327325</td>\n",
       "      <td>5.932944</td>\n",
       "      <td>2.325581</td>\n",
       "      <td>-2.078522</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.363636</td>\n",
       "      <td>0.570048</td>\n",
       "      <td>0.381295</td>\n",
       "      <td>0.636364</td>\n",
       "      <td>0.405797</td>\n",
       "      <td>0.187050</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>-0.241290</td>\n",
       "      <td>0.529236</td>\n",
       "      <td>0.243070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-05-18</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.943827</td>\n",
       "      <td>52.3</td>\n",
       "      <td>0.288551</td>\n",
       "      <td>4.601659</td>\n",
       "      <td>2.380952</td>\n",
       "      <td>6.004619</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.363636</td>\n",
       "      <td>0.719424</td>\n",
       "      <td>0.383234</td>\n",
       "      <td>0.636364</td>\n",
       "      <td>0.474820</td>\n",
       "      <td>0.245509</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>-0.112051</td>\n",
       "      <td>0.579674</td>\n",
       "      <td>0.285564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-06-30</th>\n",
       "      <td>Hike</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.943827</td>\n",
       "      <td>54.3</td>\n",
       "      <td>0.164078</td>\n",
       "      <td>5.248177</td>\n",
       "      <td>-2.325581</td>\n",
       "      <td>0.112740</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.767606</td>\n",
       "      <td>0.097561</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.514085</td>\n",
       "      <td>0.097561</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>-0.050040</td>\n",
       "      <td>0.621722</td>\n",
       "      <td>0.412215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-08-24</th>\n",
       "      <td>Hike</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.835000</td>\n",
       "      <td>53.6</td>\n",
       "      <td>0.251764</td>\n",
       "      <td>6.166822</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.739726</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.346154</td>\n",
       "      <td>0.773810</td>\n",
       "      <td>0.178947</td>\n",
       "      <td>0.692308</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>0.178947</td>\n",
       "      <td>0.269231</td>\n",
       "      <td>-0.135226</td>\n",
       "      <td>0.548355</td>\n",
       "      <td>0.343837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-16</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.533890</td>\n",
       "      <td>61.6</td>\n",
       "      <td>0.308928</td>\n",
       "      <td>22.314413</td>\n",
       "      <td>-3.333333</td>\n",
       "      <td>4.815864</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.307692</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.464567</td>\n",
       "      <td>0.615385</td>\n",
       "      <td>0.407407</td>\n",
       "      <td>0.330709</td>\n",
       "      <td>0.384615</td>\n",
       "      <td>0.086359</td>\n",
       "      <td>0.582206</td>\n",
       "      <td>0.374244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-28</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.533890</td>\n",
       "      <td>60.9</td>\n",
       "      <td>0.383765</td>\n",
       "      <td>13.352829</td>\n",
       "      <td>1.724138</td>\n",
       "      <td>-22.559653</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.384615</td>\n",
       "      <td>0.640138</td>\n",
       "      <td>0.157895</td>\n",
       "      <td>0.461538</td>\n",
       "      <td>0.456747</td>\n",
       "      <td>0.228070</td>\n",
       "      <td>0.615385</td>\n",
       "      <td>0.167826</td>\n",
       "      <td>0.419857</td>\n",
       "      <td>0.433401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-22</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.640747</td>\n",
       "      <td>59.7</td>\n",
       "      <td>0.353173</td>\n",
       "      <td>9.952513</td>\n",
       "      <td>-3.703704</td>\n",
       "      <td>-33.783784</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.461538</td>\n",
       "      <td>0.611842</td>\n",
       "      <td>0.172840</td>\n",
       "      <td>0.538462</td>\n",
       "      <td>0.414474</td>\n",
       "      <td>0.148148</td>\n",
       "      <td>0.538462</td>\n",
       "      <td>0.176087</td>\n",
       "      <td>0.441048</td>\n",
       "      <td>0.367028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-03</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.570948</td>\n",
       "      <td>60.5</td>\n",
       "      <td>0.288624</td>\n",
       "      <td>8.474656</td>\n",
       "      <td>-9.615385</td>\n",
       "      <td>-26.135217</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.651163</td>\n",
       "      <td>0.371429</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.395349</td>\n",
       "      <td>0.085714</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>-0.037468</td>\n",
       "      <td>0.531340</td>\n",
       "      <td>0.350831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-15</th>\n",
       "      <td>Hold</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.570948</td>\n",
       "      <td>60.6</td>\n",
       "      <td>0.437147</td>\n",
       "      <td>10.977142</td>\n",
       "      <td>-8.695652</td>\n",
       "      <td>-11.163337</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.176471</td>\n",
       "      <td>0.706383</td>\n",
       "      <td>0.338889</td>\n",
       "      <td>0.647059</td>\n",
       "      <td>0.476596</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.705882</td>\n",
       "      <td>-0.001460</td>\n",
       "      <td>0.564110</td>\n",
       "      <td>0.477493</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>219 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           target  prev_decision  GDP_diff_prev   PMI  EMP_diff_prev  \\\n",
       "date                                                                   \n",
       "1999-02-03   Hold            0.0       1.616191  46.8       0.286880   \n",
       "1999-03-30   Hold            0.0       1.616191  51.7       0.327325   \n",
       "1999-05-18   Hold            0.0       0.943827  52.3       0.288551   \n",
       "1999-06-30   Hike            0.0       0.943827  54.3       0.164078   \n",
       "1999-08-24   Hike            1.0       0.835000  53.6       0.251764   \n",
       "...           ...            ...            ...   ...            ...   \n",
       "2021-06-16   Hold            0.0       1.533890  61.6       0.308928   \n",
       "2021-07-28   Hold            0.0       1.533890  60.9       0.383765   \n",
       "2021-09-22   Hold            0.0       1.640747  59.7       0.353173   \n",
       "2021-11-03   Hold            0.0       0.570948  60.5       0.288624   \n",
       "2021-12-15   Hold            0.0       0.570948  60.6       0.437147   \n",
       "\n",
       "            RSALES_diff_year  UNEMP_diff_prev  HSALES_diff_year  Inertia_diff  \\\n",
       "date                                                                            \n",
       "1999-02-03          4.952373         0.000000         19.672131           0.0   \n",
       "1999-03-30          5.932944         2.325581         -2.078522           0.0   \n",
       "1999-05-18          4.601659         2.380952          6.004619           0.0   \n",
       "1999-06-30          5.248177        -2.325581          0.112740           0.0   \n",
       "1999-08-24          6.166822         0.000000          2.739726           0.0   \n",
       "...                      ...              ...               ...           ...   \n",
       "2021-06-16         22.314413        -3.333333          4.815864           0.0   \n",
       "2021-07-28         13.352829         1.724138        -22.559653           0.0   \n",
       "2021-09-22          9.952513        -3.703704        -33.783784           0.0   \n",
       "2021-11-03          8.474656        -9.615385        -26.135217           0.0   \n",
       "2021-12-15         10.977142        -8.695652        -11.163337           0.0   \n",
       "\n",
       "            Balanced_diff  ...  polarity_diffusion_statement  \\\n",
       "date                       ...                                 \n",
       "1999-02-03            0.0  ...                     -0.363636   \n",
       "1999-03-30            0.0  ...                     -0.363636   \n",
       "1999-05-18            0.0  ...                     -0.363636   \n",
       "1999-06-30            0.0  ...                      0.000000   \n",
       "1999-08-24            0.0  ...                     -0.346154   \n",
       "...                   ...  ...                           ...   \n",
       "2021-06-16            0.0  ...                      0.307692   \n",
       "2021-07-28            0.0  ...                      0.384615   \n",
       "2021-09-22            0.0  ...                      0.461538   \n",
       "2021-11-03            0.0  ...                      0.428571   \n",
       "2021-12-15            0.0  ...                      0.176471   \n",
       "\n",
       "            finbert_diffusion_minutes  finbert_diffusion_speech  \\\n",
       "date                                                              \n",
       "1999-02-03                   0.662069                  0.222222   \n",
       "1999-03-30                   0.570048                  0.381295   \n",
       "1999-05-18                   0.719424                  0.383234   \n",
       "1999-06-30                   0.767606                  0.097561   \n",
       "1999-08-24                   0.773810                  0.178947   \n",
       "...                               ...                       ...   \n",
       "2021-06-16                   0.666667                  0.464567   \n",
       "2021-07-28                   0.640138                  0.157895   \n",
       "2021-09-22                   0.611842                  0.172840   \n",
       "2021-11-03                   0.651163                  0.371429   \n",
       "2021-12-15                   0.706383                  0.338889   \n",
       "\n",
       "            finbert_diffusion_statement  t5_diffusion_minutes  \\\n",
       "date                                                            \n",
       "1999-02-03                     0.636364              0.420690   \n",
       "1999-03-30                     0.636364              0.405797   \n",
       "1999-05-18                     0.636364              0.474820   \n",
       "1999-06-30                     1.000000              0.514085   \n",
       "1999-08-24                     0.692308              0.583333   \n",
       "...                                 ...                   ...   \n",
       "2021-06-16                     0.615385              0.407407   \n",
       "2021-07-28                     0.461538              0.456747   \n",
       "2021-09-22                     0.538462              0.414474   \n",
       "2021-11-03                     0.571429              0.395349   \n",
       "2021-12-15                     0.647059              0.476596   \n",
       "\n",
       "            t5_diffusion_speech  t5_diffusion_statement  lm_tones  \\\n",
       "date                                                                \n",
       "1999-02-03             0.111111                0.136364 -0.243343   \n",
       "1999-03-30             0.187050                0.136364 -0.241290   \n",
       "1999-05-18             0.245509                0.136364 -0.112051   \n",
       "1999-06-30             0.097561                0.625000 -0.050040   \n",
       "1999-08-24             0.178947                0.269231 -0.135226   \n",
       "...                         ...                     ...       ...   \n",
       "2021-06-16             0.330709                0.384615  0.086359   \n",
       "2021-07-28             0.228070                0.615385  0.167826   \n",
       "2021-09-22             0.148148                0.538462  0.176087   \n",
       "2021-11-03             0.085714                0.571429 -0.037468   \n",
       "2021-12-15             0.250000                0.705882 -0.001460   \n",
       "\n",
       "            finbert_tones  t5_tones  \n",
       "date                                 \n",
       "1999-02-03       0.506885  0.222721  \n",
       "1999-03-30       0.529236  0.243070  \n",
       "1999-05-18       0.579674  0.285564  \n",
       "1999-06-30       0.621722  0.412215  \n",
       "1999-08-24       0.548355  0.343837  \n",
       "...                   ...       ...  \n",
       "2021-06-16       0.582206  0.374244  \n",
       "2021-07-28       0.419857  0.433401  \n",
       "2021-09-22       0.441048  0.367028  \n",
       "2021-11-03       0.531340  0.350831  \n",
       "2021-12-15       0.564110  0.477493  \n",
       "\n",
       "[219 rows x 22 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = [\n",
    "    \"polarity_diffusion_minutes\",\n",
    "    \"polarity_diffusion_speech\",\n",
    "    \"polarity_diffusion_statement\",\n",
    "    \"finbert_diffusion_minutes\",\n",
    "    \"finbert_diffusion_speech\",\n",
    "    \"finbert_diffusion_statement\",\n",
    "    \"t5_diffusion_minutes\",\n",
    "    \"t5_diffusion_speech\",\n",
    "    \"t5_diffusion_statement\",\n",
    "    \"lm_tones\",\n",
    "    \"finbert_tones\",\n",
    "    \"t5_tones\",\n",
    "]\n",
    "fomc_train_tones = econ_train_small.merge(\n",
    "    merged_tone_data[cols], left_index=True, right_index=True\n",
    ")\n",
    "fomc_train_tones.index.name = \"date\"\n",
    "eKonf.save_data(fomc_train_tones, \"fomc_train_tones.parquet\", data_dir)\n",
    "fomc_train_tones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ekorpkit.base:Applying pipe: functools.partial(<function load_dataframe at 0x7f4a924ba1f0>)\n",
      "INFO:ekorpkit.base:Applying pipe: functools.partial(<function reset_index at 0x7f4a921d7ca0>)\n",
      "INFO:ekorpkit.base:Applying pipe: functools.partial(<function split_sampling at 0x7f4a921e43a0>)\n",
      "WARNING:ekorpkit.datasets.base:File fomc_tone_features-dev.parquet not found.\n"
     ]
    }
   ],
   "source": [
    "econ_cols = [\n",
    "    \"prev_decision\",\n",
    "    \"GDP_diff_prev\",\n",
    "    \"PMI\",\n",
    "    \"EMP_diff_prev\",\n",
    "    \"RSALES_diff_year\",\n",
    "    \"UNEMP_diff_prev\",\n",
    "    \"HSALES_diff_year\",\n",
    "    \"Inertia_diff\",\n",
    "    \"Balanced_diff\",\n",
    "]\n",
    "data_cols = econ_cols + cols\n",
    "\n",
    "cfg = eKonf.compose(\"dataset=feature_build\")\n",
    "cfg.name = \"fomc_tone_features\"\n",
    "cfg.data_dir = data_dir\n",
    "cfg.data_file = \"fomc_train_tones.parquet\"\n",
    "cfg.force.build = True\n",
    "cfg.pipeline.split_sampling.stratify_on = \"target\"\n",
    "cfg.pipeline.split_sampling.random_state = 5678\n",
    "cfg.pipeline.split_sampling.test_size = 0.3\n",
    "cfg.pipeline.reset_index.index_column_name = \"date\"\n",
    "cfg.column_info.columns.index = \"index\"\n",
    "cfg.column_info.columns.id = \"date\"\n",
    "cfg.column_info.columns.x = data_cols\n",
    "cfg.column_info.columns.y = \"target\"\n",
    "f_tones = eKonf.instantiate(cfg)\n",
    "f_tones.persist()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FeatureSet : fomc_tone_features\n"
     ]
    }
   ],
   "source": [
    "cfg = eKonf.compose(config_group=\"dataset=feature\")\n",
    "cfg.name = \"fomc_tone_features\"\n",
    "cfg.data_dir = data_dir\n",
    "f_tones = eKonf.instantiate(cfg)\n",
    "print(f_tones)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['prev_decision',\n",
       " 'GDP_diff_prev',\n",
       " 'PMI',\n",
       " 'EMP_diff_prev',\n",
       " 'RSALES_diff_year',\n",
       " 'UNEMP_diff_prev',\n",
       " 'HSALES_diff_year',\n",
       " 'Inertia_diff',\n",
       " 'Balanced_diff',\n",
       " 'polarity_diffusion_minutes',\n",
       " 'polarity_diffusion_speech',\n",
       " 'polarity_diffusion_statement',\n",
       " 'finbert_diffusion_minutes',\n",
       " 'finbert_diffusion_speech',\n",
       " 'finbert_diffusion_statement',\n",
       " 't5_diffusion_minutes',\n",
       " 't5_diffusion_speech',\n",
       " 't5_diffusion_statement',\n",
       " 'lm_tones',\n",
       " 'finbert_tones',\n",
       " 't5_tones']"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_tones.COLUMN.X\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize Features\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "f_tones.y_train = f_tones.transform_labels(f_tones.y_train)\n",
    "f_tones.y_dev = f_tones.transform_labels(f_tones.y_dev)\n",
    "f_tones.y_test = f_tones.transform_labels(f_tones.y_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Cut', 'Hike', 'Hold'] ['prev_decision', 'GDP_diff_prev', 'PMI', 'EMP_diff_prev', 'RSALES_diff_year', 'UNEMP_diff_prev', 'HSALES_diff_year', 'Inertia_diff', 'Balanced_diff', 'polarity_diffusion_minutes', 'polarity_diffusion_speech', 'polarity_diffusion_statement', 'finbert_diffusion_minutes', 'finbert_diffusion_speech', 'finbert_diffusion_statement', 't5_diffusion_minutes', 't5_diffusion_speech', 't5_diffusion_statement', 'lm_tones', 'finbert_tones', 't5_tones'] target\n"
     ]
    }
   ],
   "source": [
    "X_cols = f_tones.COLUMN.X\n",
    "y_col = f_tones.COLUMN.Y\n",
    "print(f_tones.classes, X_cols, y_col)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "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>date</th>\n",
       "      <th>target</th>\n",
       "      <th>prev_decision</th>\n",
       "      <th>GDP_diff_prev</th>\n",
       "      <th>PMI</th>\n",
       "      <th>EMP_diff_prev</th>\n",
       "      <th>RSALES_diff_year</th>\n",
       "      <th>UNEMP_diff_prev</th>\n",
       "      <th>HSALES_diff_year</th>\n",
       "      <th>Inertia_diff</th>\n",
       "      <th>...</th>\n",
       "      <th>finbert_diffusion_minutes</th>\n",
       "      <th>finbert_diffusion_speech</th>\n",
       "      <th>finbert_diffusion_statement</th>\n",
       "      <th>t5_diffusion_minutes</th>\n",
       "      <th>t5_diffusion_speech</th>\n",
       "      <th>t5_diffusion_statement</th>\n",
       "      <th>lm_tones</th>\n",
       "      <th>finbert_tones</th>\n",
       "      <th>t5_tones</th>\n",
       "      <th>split</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</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",
       "      <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>0</th>\n",
       "      <td>2010-04-28</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.067962</td>\n",
       "      <td>58.8</td>\n",
       "      <td>0.139555</td>\n",
       "      <td>5.061896</td>\n",
       "      <td>1.020408</td>\n",
       "      <td>12.389381</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.677083</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>-0.050143</td>\n",
       "      <td>0.459355</td>\n",
       "      <td>0.270118</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008-10-29</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.572295</td>\n",
       "      <td>44.8</td>\n",
       "      <td>-0.335245</td>\n",
       "      <td>-6.288802</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-36.880466</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.628378</td>\n",
       "      <td>0.388889</td>\n",
       "      <td>0.791667</td>\n",
       "      <td>0.283784</td>\n",
       "      <td>0.126984</td>\n",
       "      <td>0.208333</td>\n",
       "      <td>-0.297673</td>\n",
       "      <td>0.602978</td>\n",
       "      <td>0.206367</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-12-19</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.481953</td>\n",
       "      <td>58.8</td>\n",
       "      <td>0.068241</td>\n",
       "      <td>1.349789</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-15.611814</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.650206</td>\n",
       "      <td>0.689394</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>0.362140</td>\n",
       "      <td>0.378788</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>-0.017770</td>\n",
       "      <td>0.594681</td>\n",
       "      <td>0.358087</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2009-08-12</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.169238</td>\n",
       "      <td>49.9</td>\n",
       "      <td>-0.259526</td>\n",
       "      <td>-7.390883</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-13.836478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.676806</td>\n",
       "      <td>0.458333</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.334601</td>\n",
       "      <td>0.208333</td>\n",
       "      <td>0.454545</td>\n",
       "      <td>-0.117091</td>\n",
       "      <td>0.560198</td>\n",
       "      <td>0.332493</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2000-11-15</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.099774</td>\n",
       "      <td>48.7</td>\n",
       "      <td>-0.001511</td>\n",
       "      <td>2.243324</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.995413</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.752381</td>\n",
       "      <td>0.642276</td>\n",
       "      <td>0.842105</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>0.471545</td>\n",
       "      <td>0.736842</td>\n",
       "      <td>0.016816</td>\n",
       "      <td>0.745588</td>\n",
       "      <td>0.558351</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            date  target  prev_decision  GDP_diff_prev   PMI  EMP_diff_prev  \\\n",
       "index                                                                         \n",
       "0     2010-04-28       2            0.0       1.067962  58.8       0.139555   \n",
       "1     2008-10-29       0           -1.0       0.572295  44.8      -0.335245   \n",
       "2     2018-12-19       1            0.0       0.481953  58.8       0.068241   \n",
       "3     2009-08-12       2            0.0      -0.169238  49.9      -0.259526   \n",
       "4     2000-11-15       2            0.0       0.099774  48.7      -0.001511   \n",
       "\n",
       "       RSALES_diff_year  UNEMP_diff_prev  HSALES_diff_year  Inertia_diff  ...  \\\n",
       "index                                                                     ...   \n",
       "0              5.061896         1.020408         12.389381           0.0  ...   \n",
       "1             -6.288802         0.000000        -36.880466           0.0  ...   \n",
       "2              1.349789         0.000000        -15.611814           0.0  ...   \n",
       "3             -7.390883         0.000000        -13.836478           0.0  ...   \n",
       "4              2.243324         0.000000          6.995413           0.0  ...   \n",
       "\n",
       "       finbert_diffusion_minutes  finbert_diffusion_speech  \\\n",
       "index                                                        \n",
       "0                       0.677083                  0.117647   \n",
       "1                       0.628378                  0.388889   \n",
       "2                       0.650206                  0.689394   \n",
       "3                       0.676806                  0.458333   \n",
       "4                       0.752381                  0.642276   \n",
       "\n",
       "       finbert_diffusion_statement  t5_diffusion_minutes  t5_diffusion_speech  \\\n",
       "index                                                                           \n",
       "0                         0.583333              0.359375             0.117647   \n",
       "1                         0.791667              0.283784             0.126984   \n",
       "2                         0.444444              0.362140             0.378788   \n",
       "3                         0.545455              0.334601             0.208333   \n",
       "4                         0.842105              0.466667             0.471545   \n",
       "\n",
       "       t5_diffusion_statement  lm_tones  finbert_tones  t5_tones  split  \n",
       "index                                                                    \n",
       "0                    0.333333 -0.050143       0.459355  0.270118  train  \n",
       "1                    0.208333 -0.297673       0.602978  0.206367  train  \n",
       "2                    0.333333 -0.017770       0.594681  0.358087  train  \n",
       "3                    0.454545 -0.117091       0.560198  0.332493  train  \n",
       "4                    0.736842  0.016816       0.745588  0.558351  train  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_tones.train_data.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 348,
       "width": 708
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cfg = eKonf.compose(config_group=\"visualize/plot=rank1d\")\n",
    "cfg.plots[0].x = X_cols\n",
    "cfg.plots[0].y = y_col\n",
    "cfg.plots[0].classes = f_tones.classes\n",
    "eKonf.instantiate(cfg, data=f_tones.data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 568,
       "width": 633
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cfg = eKonf.compose(config_group=\"visualize/plot=rank2d\")\n",
    "cfg.plots[0].x = X_cols\n",
    "cfg.plots[0].y = y_col\n",
    "cfg.figure.figsize = (10, 8)\n",
    "eKonf.instantiate(cfg, data=f_tones.data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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