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ngupta23/hierarchical_fcst_statsmodels_custom.ipynb

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{
"nbformat": 4,
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"metadata": {
"colab": {
"provenance": [],
"toc_visible": true,
"authorship_tag": "ABX9TyNO222dsW/ieU2OYK1HoFNT",
"include_colab_link": true
},
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"name": "python3",
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"name": "python"
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"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/ngupta23/1e104f18c0440156953ac37dc8e2a616/hierarchical_fcst_statsmodels_custom.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"* Spin off from https://gist.github.com/ngupta23/8adf65543584632f8ec57a27d9ec3480\n",
"\n",
"* Also, how to represent multiple hierarchies: https://medium.com/@adeforceville_96412/hierarchical-timeseries-reconciliation-58addce2aeb7#:~:text=HTS%20reconciliation%20is%20a%20field,coherent%20and%20sum%20up%20correctly."
],
"metadata": {
"id": "7910EH6XPHDR"
}
},
{
"cell_type": "markdown",
"source": [
"## Install Libraries"
],
"metadata": {
"id": "3Vy25M9Cc828"
}
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "2JL_0HHnPE9l"
},
"outputs": [],
"source": [
"%%capture\n",
"!pip install hierarchicalforecast"
]
},
{
"cell_type": "code",
"source": [
"import random\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"from hierarchicalforecast.utils import aggregate, HierarchicalPlot\n",
"from hierarchicalforecast.methods import BottomUp, TopDown, MinTrace, ERM\n",
"from hierarchicalforecast.core import HierarchicalReconciliation\n",
"from hierarchicalforecast.evaluation import HierarchicalEvaluation"
],
"metadata": {
"id": "ZeNzll0MPL5A"
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"## Data Characteristics"
],
"metadata": {
"id": "s-cWqqq4bTrb"
}
},
{
"cell_type": "code",
"source": [
"N = 12 # Total number of time points per series\n",
"FH = 2 # Forecast Horizon\n",
"NUM_SKUS = 8\n",
"NUM_ACCOUNTS = 3"
],
"metadata": {
"id": "goAxbbW1nwpR"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"## Create your dataset\n",
"\n",
"Our dataset has 2 hierarchies. \n",
"\n",
"**Product Hierarchy**\n",
"- **All Products**: Retail\n",
" - **Category**: Chocolate, Baby Food\n",
" - **Brand**: KitKat, Butterfinger, Cerelac, Gerber\n",
" - **SKU**: 1 pack, 8 pack, 32 oz, 64 oz \n",
" \n",
"**Customer Hierarchy**\n",
"- **All Accounts**: Retail\n",
" - **Channel**: Wholesale & Mass Market\n",
" - **Account**: Sams, Kroger, Walmart"
],
"metadata": {
"id": "57ZQ3BZdbCbv"
}
},
{
"cell_type": "code",
"source": [
"ds = pd.date_range(start='2022-01-01', periods=N, freq='MS')\n",
"y_list = []\n",
"random.seed(42)\n",
"np.random.seed(42)\n",
"for _ in np.arange(NUM_SKUS * NUM_ACCOUNTS):\n",
" y_list.append([random.randint(0, 100) for _ in np.arange(N)])\n",
"ys = np.concatenate(y_list)\n",
"ds = np.tile(ds, len(y_list))\n",
"\n",
"REPS = NUM_ACCOUNTS * N\n",
"all_products = [\"retail\"] * 8 * REPS\n",
"category = [\"chocolate\"] * 4 * REPS + [\"baby_food\"] * 4 * REPS\n",
"brand = [\"kitkat\"] * 2 * REPS + [\"buterfinger\"]* 2 * REPS + [\"cerelac\"] * 2 * REPS + [\"gerber\"] * 2 * REPS\n",
"sku = [\"kk_1pk\"] * REPS + [\"kk_8pk\"] * REPS + [\"bf_1pk\"] * REPS + [\"bf_8pk\"] * REPS + [\"cer_32oz\"] * REPS + [\"cer_64oz\"] * REPS + [\"ger_32oz\"] * REPS + [\"ger_64oz\"] * REPS\n",
"\n",
"all_accounts = [\"retail\"] * 3 * N * NUM_SKUS\n",
"channel = [[\"wholesale\"] * N + [\"mass_market\"] * 2 * N][0] * NUM_SKUS\n",
"account = [[\"sams\"] * N + [\"kroger\"] * N + [\"walmart\"] * N][0] * NUM_SKUS\n",
"\n",
"bottom_df = dict(\n",
" ds=ds,\n",
" all_acc = all_accounts,\n",
" ch = channel,\n",
" acc = account,\n",
" all_prods=all_products,\n",
" cat=category, \n",
" brand=brand, \n",
" sku=sku,\n",
" y=ys\n",
")\n",
"bottom_df = pd.DataFrame(bottom_df)\n",
"bottom_df.groupby(['sku']).tail(FH)"
],
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"height": 551
},
"id": "D7O8JnvxqHnA",
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},
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" ds all_acc ch acc all_prods cat \\\n",
"34 2022-11-01 retail mass_market walmart retail chocolate \n",
"35 2022-12-01 retail mass_market walmart retail chocolate \n",
"70 2022-11-01 retail mass_market walmart retail chocolate \n",
"71 2022-12-01 retail mass_market walmart retail chocolate \n",
"106 2022-11-01 retail mass_market walmart retail chocolate \n",
"107 2022-12-01 retail mass_market walmart retail chocolate \n",
"142 2022-11-01 retail mass_market walmart retail chocolate \n",
"143 2022-12-01 retail mass_market walmart retail chocolate \n",
"178 2022-11-01 retail mass_market walmart retail baby_food \n",
"179 2022-12-01 retail mass_market walmart retail baby_food \n",
"214 2022-11-01 retail mass_market walmart retail baby_food \n",
"215 2022-12-01 retail mass_market walmart retail baby_food \n",
"250 2022-11-01 retail mass_market walmart retail baby_food \n",
"251 2022-12-01 retail mass_market walmart retail baby_food \n",
"286 2022-11-01 retail mass_market walmart retail baby_food \n",
"287 2022-12-01 retail mass_market walmart retail baby_food \n",
"\n",
" brand sku y \n",
"34 kitkat kk_1pk 35 \n",
"35 kitkat kk_1pk 0 \n",
"70 kitkat kk_8pk 5 \n",
"71 kitkat kk_8pk 84 \n",
"106 buterfinger bf_1pk 28 \n",
"107 buterfinger bf_1pk 87 \n",
"142 buterfinger bf_8pk 28 \n",
"143 buterfinger bf_8pk 17 \n",
"178 cerelac cer_32oz 20 \n",
"179 cerelac cer_32oz 58 \n",
"214 cerelac cer_64oz 10 \n",
"215 cerelac cer_64oz 10 \n",
"250 gerber ger_32oz 8 \n",
"251 gerber ger_32oz 43 \n",
"286 gerber ger_64oz 12 \n",
"287 gerber ger_64oz 84 "
],
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>ds</th>\n",
" <th>all_acc</th>\n",
" <th>ch</th>\n",
" <th>acc</th>\n",
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" <th>34</th>\n",
" <td>2022-11-01</td>\n",
" <td>retail</td>\n",
" <td>mass_market</td>\n",
" <td>walmart</td>\n",
" <td>retail</td>\n",
" <td>chocolate</td>\n",
" <td>kitkat</td>\n",
" <td>kk_1pk</td>\n",
" <td>35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>2022-12-01</td>\n",
" <td>retail</td>\n",
" <td>mass_market</td>\n",
" <td>walmart</td>\n",
" <td>retail</td>\n",
" <td>chocolate</td>\n",
" <td>kitkat</td>\n",
" <td>kk_1pk</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70</th>\n",
" <td>2022-11-01</td>\n",
" <td>retail</td>\n",
" <td>mass_market</td>\n",
" <td>walmart</td>\n",
" <td>retail</td>\n",
" <td>chocolate</td>\n",
" <td>kitkat</td>\n",
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" <th>71</th>\n",
" <td>2022-12-01</td>\n",
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" <td>2022-11-01</td>\n",
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" <td>mass_market</td>\n",
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" <td>retail</td>\n",
" <td>chocolate</td>\n",
" <td>buterfinger</td>\n",
" <td>bf_1pk</td>\n",
" <td>28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>107</th>\n",
" <td>2022-12-01</td>\n",
" <td>retail</td>\n",
" <td>mass_market</td>\n",
" <td>walmart</td>\n",
" <td>retail</td>\n",
" <td>chocolate</td>\n",
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" <td>bf_1pk</td>\n",
" <td>87</td>\n",
" </tr>\n",
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" <th>142</th>\n",
" <td>2022-11-01</td>\n",
" <td>retail</td>\n",
" <td>mass_market</td>\n",
" <td>walmart</td>\n",
" <td>retail</td>\n",
" <td>chocolate</td>\n",
" <td>buterfinger</td>\n",
" <td>bf_8pk</td>\n",
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" <th>143</th>\n",
" <td>2022-12-01</td>\n",
" <td>retail</td>\n",
" <td>mass_market</td>\n",
" <td>walmart</td>\n",
" <td>retail</td>\n",
" <td>chocolate</td>\n",
" <td>buterfinger</td>\n",
" <td>bf_8pk</td>\n",
" <td>17</td>\n",
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" <th>178</th>\n",
" <td>2022-11-01</td>\n",
" <td>retail</td>\n",
" <td>mass_market</td>\n",
" <td>walmart</td>\n",
" <td>retail</td>\n",
" <td>baby_food</td>\n",
" <td>cerelac</td>\n",
" <td>cer_32oz</td>\n",
" <td>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>179</th>\n",
" <td>2022-12-01</td>\n",
" <td>retail</td>\n",
" <td>mass_market</td>\n",
" <td>walmart</td>\n",
" <td>retail</td>\n",
" <td>baby_food</td>\n",
" <td>cerelac</td>\n",
" <td>cer_32oz</td>\n",
" <td>58</td>\n",
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" <td>2022-11-01</td>\n",
" <td>retail</td>\n",
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" <td>retail</td>\n",
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" <td>2022-12-01</td>\n",
" <td>retail</td>\n",
" <td>mass_market</td>\n",
" <td>walmart</td>\n",
" <td>retail</td>\n",
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" <td>cerelac</td>\n",
" <td>cer_64oz</td>\n",
" <td>10</td>\n",
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" <th>250</th>\n",
" <td>2022-11-01</td>\n",
" <td>retail</td>\n",
" <td>mass_market</td>\n",
" <td>walmart</td>\n",
" <td>retail</td>\n",
" <td>baby_food</td>\n",
" <td>gerber</td>\n",
" <td>ger_32oz</td>\n",
" <td>8</td>\n",
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" <td>retail</td>\n",
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" <td>retail</td>\n",
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"metadata": {},
"execution_count": 4
}
]
},
{
"cell_type": "code",
"source": [
"# len(ds), len(all_products), len(category), len(brand), len(sku), len(ys), len(all_accounts), len(channel), len(account)"
],
"metadata": {
"id": "jJoNnTKFa9po"
},
"execution_count": 5,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Create hierarchical structure and constraints\n",
"hierarchy_levels = [\n",
" ['all_acc'],\n",
" ['all_acc', 'ch'],\n",
" ['all_acc', 'ch', 'acc'],\n",
" ['all_acc', 'ch', 'acc', 'all_prods'],\n",
" ['all_acc', 'ch', 'acc', 'all_prods', 'cat'],\n",
" ['all_acc', 'ch', 'acc', 'all_prods', 'cat', 'brand'],\n",
" ['all_acc', 'ch', 'acc', 'all_prods', 'cat', 'brand', 'sku']\n",
" ]\n",
"Y_hier_df, S_df, tags = aggregate(df=bottom_df, spec=hierarchy_levels)\n",
"Y_hier_df = Y_hier_df.reset_index()\n",
"print('S_df.shape', S_df.shape)\n",
"print('Y_hier_df.shape', Y_hier_df.shape)\n",
"print(\"tags['all_acc']\", tags['all_acc'])"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "dNIFodWIPWTg",
"outputId": "de724f56-bad7-4d6e-94eb-f12281fb474e"
},
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"S_df.shape (51, 24)\n",
"Y_hier_df.shape (612, 3)\n",
"tags['all_acc'] ['retail']\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Y_hier_df[\"unique_id\"].unique()"
],
"metadata": {
"id": "giWk84ziXG_s"
},
"execution_count": 7,
"outputs": []
},
{
"cell_type": "code",
"source": [
"S_df"
],
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"height": 1000
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"id": "_hWjXlSBPWy3",
"outputId": "70a092c8-9c15-44a4-df69-972d7b75c1db"
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"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" retail/mass_market/kroger/retail/baby_food/cerelac/cer_32oz \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 1.0 \n",
"retail/mass_market/walmart 0.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 1.0 \n",
"retail/mass_market/kroger/retail/chocolate 0.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 1.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 1.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/baby_food/cerelac/cer_64oz \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 1.0 \n",
"retail/mass_market/walmart 0.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 1.0 \n",
"retail/mass_market/kroger/retail/chocolate 0.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 1.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 1.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/baby_food/gerber/ger_32oz \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 1.0 \n",
"retail/mass_market/walmart 0.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 1.0 \n",
"retail/mass_market/kroger/retail/chocolate 0.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 1.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/baby_food/gerber/ger_64oz \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 1.0 \n",
"retail/mass_market/walmart 0.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 1.0 \n",
"retail/mass_market/kroger/retail/chocolate 0.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/chocolate/buterfinger/bf_1pk \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 1.0 \n",
"retail/mass_market/walmart 0.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 0.0 \n",
"retail/mass_market/kroger/retail/chocolate 1.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/chocolate/buterfinger/bf_8pk \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 1.0 \n",
"retail/mass_market/walmart 0.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 0.0 \n",
"retail/mass_market/kroger/retail/chocolate 1.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/chocolate/kitkat/kk_1pk \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 1.0 \n",
"retail/mass_market/walmart 0.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 0.0 \n",
"retail/mass_market/kroger/retail/chocolate 1.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 1.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/chocolate/kitkat/kk_8pk \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 1.0 \n",
"retail/mass_market/walmart 0.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 0.0 \n",
"retail/mass_market/kroger/retail/chocolate 1.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 1.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 1.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/walmart/retail/baby_food/cerelac/cer_32oz \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 0.0 \n",
"retail/mass_market/walmart 1.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 0.0 \n",
"retail/mass_market/walmart/retail 1.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 0.0 \n",
"retail/mass_market/kroger/retail/chocolate 0.0 \n",
"retail/mass_market/walmart/retail/baby_food 1.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 1.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 1.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/walmart/retail/baby_food/cerelac/cer_64oz \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 0.0 \n",
"retail/mass_market/walmart 1.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 0.0 \n",
"retail/mass_market/walmart/retail 1.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 0.0 \n",
"retail/mass_market/kroger/retail/chocolate 0.0 \n",
"retail/mass_market/walmart/retail/baby_food 1.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 1.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 1.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kit... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" ... \\\n",
"retail ... \n",
"retail/mass_market ... \n",
"retail/wholesale ... \n",
"retail/mass_market/kroger ... \n",
"retail/mass_market/walmart ... \n",
"retail/wholesale/sams ... \n",
"retail/mass_market/kroger/retail ... \n",
"retail/mass_market/walmart/retail ... \n",
"retail/wholesale/sams/retail ... \n",
"retail/mass_market/kroger/retail/baby_food ... \n",
"retail/mass_market/kroger/retail/chocolate ... \n",
"retail/mass_market/walmart/retail/baby_food ... \n",
"retail/mass_market/walmart/retail/chocolate ... \n",
"retail/wholesale/sams/retail/baby_food ... \n",
"retail/wholesale/sams/retail/chocolate ... \n",
"retail/mass_market/kroger/retail/baby_food/cerelac ... \n",
"retail/mass_market/kroger/retail/baby_food/gerber ... \n",
"retail/mass_market/kroger/retail/chocolate/bute... ... \n",
"retail/mass_market/kroger/retail/chocolate/kitkat ... \n",
"retail/mass_market/walmart/retail/baby_food/cer... ... \n",
"retail/mass_market/walmart/retail/baby_food/gerber ... \n",
"retail/mass_market/walmart/retail/chocolate/but... ... \n",
"retail/mass_market/walmart/retail/chocolate/kitkat ... \n",
"retail/wholesale/sams/retail/baby_food/cerelac ... \n",
"retail/wholesale/sams/retail/baby_food/gerber ... \n",
"retail/wholesale/sams/retail/chocolate/buterfinger ... \n",
"retail/wholesale/sams/retail/chocolate/kitkat ... \n",
"retail/mass_market/kroger/retail/baby_food/cere... ... \n",
"retail/mass_market/kroger/retail/baby_food/cere... ... \n",
"retail/mass_market/kroger/retail/baby_food/gerb... ... \n",
"retail/mass_market/kroger/retail/baby_food/gerb... ... \n",
"retail/mass_market/kroger/retail/chocolate/bute... ... \n",
"retail/mass_market/kroger/retail/chocolate/bute... ... \n",
"retail/mass_market/kroger/retail/chocolate/kitk... ... \n",
"retail/mass_market/kroger/retail/chocolate/kitk... ... \n",
"retail/mass_market/walmart/retail/baby_food/cer... ... \n",
"retail/mass_market/walmart/retail/baby_food/cer... ... \n",
"retail/mass_market/walmart/retail/baby_food/ger... ... \n",
"retail/mass_market/walmart/retail/baby_food/ger... ... \n",
"retail/mass_market/walmart/retail/chocolate/but... ... \n",
"retail/mass_market/walmart/retail/chocolate/but... ... \n",
"retail/mass_market/walmart/retail/chocolate/kit... ... \n",
"retail/mass_market/walmart/retail/chocolate/kit... ... \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... ... \n",
"retail/wholesale/sams/retail/baby_food/cerelac/... ... \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... ... \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... ... \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... ... \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... ... \n",
"\n",
" retail/mass_market/walmart/retail/chocolate/kitkat/kk_1pk \\\n",
"retail 1.0 \n",
"retail/mass_market 1.0 \n",
"retail/wholesale 0.0 \n",
"retail/mass_market/kroger 0.0 \n",
"retail/mass_market/walmart 1.0 \n",
"retail/wholesale/sams 0.0 \n",
"retail/mass_market/kroger/retail 0.0 \n",
"retail/mass_market/walmart/retail 1.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 0.0 \n",
"retail/mass_market/kroger/retail/chocolate 0.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 1.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 1.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerb... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitk... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/ger... 0.0 \n",
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"\n",
" retail/mass_market/walmart/retail/chocolate/kitkat/kk_8pk \\\n",
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"\n",
" retail/wholesale/sams/retail/baby_food/cerelac/cer_32oz \\\n",
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"\n",
" retail/wholesale/sams/retail/baby_food/cerelac/cer_64oz \\\n",
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"\n",
" retail/wholesale/sams/retail/baby_food/gerber/ger_32oz \\\n",
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"\n",
" retail/wholesale/sams/retail/baby_food/gerber/ger_64oz \\\n",
"retail 1.0 \n",
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"\n",
" retail/wholesale/sams/retail/chocolate/buterfinger/bf_1pk \\\n",
"retail 1.0 \n",
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" retail/wholesale/sams/retail/chocolate/buterfinger/bf_8pk \\\n",
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"\n",
" retail/wholesale/sams/retail/chocolate/kitkat/kk_1pk \\\n",
"retail 1.0 \n",
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"\n",
" retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk \n",
"retail 1.0 \n",
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"[51 rows x 24 columns]"
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" <th>retail/mass_market/kroger/retail/baby_food/cerelac/cer_32oz</th>\n",
" <th>retail/mass_market/kroger/retail/baby_food/cerelac/cer_64oz</th>\n",
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" <th>retail</th>\n",
" <td>1.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <tr>\n",
" <th>retail/mass_market/walmart/retail</th>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
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" <td>0.0</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail</th>\n",
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" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food</th>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/chocolate</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
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" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/walmart/retail/baby_food</th>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/walmart/retail/chocolate</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/baby_food</th>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food/cerelac</th>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>...</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food/gerber</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/chocolate/buterfinger</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>...</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/chocolate/kitkat</th>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/walmart/retail/baby_food/cerelac</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/walmart/retail/baby_food/gerber</th>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/walmart/retail/chocolate/buterfinger</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>...</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/walmart/retail/chocolate/kitkat</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>...</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/baby_food/cerelac</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>...</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/baby_food/gerber</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>...</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/buterfinger</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>...</td>\n",
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" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
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" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/kitkat</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food/cerelac/cer_32oz</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>...</td>\n",
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" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food/cerelac/cer_64oz</th>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>...</td>\n",
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" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food/gerber/ger_32oz</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food/gerber/ger_64oz</th>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
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" <td>...</td>\n",
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" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
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" + ' 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",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 8
}
]
},
{
"cell_type": "code",
"source": [
"hplot = HierarchicalPlot(S=S_df, tags=tags)\n",
"hplot.plot_summing_matrix()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 417
},
"id": "Cs8kkwryaDtc",
"outputId": "645fdd0d-8328-4d91-d7d5-e50825900cea"
},
"execution_count": 9,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 320x480 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Split train/test sets\n",
"Y_test_df = Y_hier_df.groupby('unique_id').tail(FH)\n",
"Y_train_df = Y_hier_df.drop(Y_test_df.index)\n",
"\n",
"Y_test_df = Y_test_df.set_index('unique_id')\n",
"Y_train_df = Y_train_df.set_index('unique_id')\n",
"\n",
"Y_train_df.info(), Y_test_df.info()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "3MVo7IptParm",
"outputId": "4e17e8dc-2269-437c-8033-b4854ca0ed32"
},
"execution_count": 10,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 510 entries, retail to retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk\n",
"Data columns (total 2 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 ds 510 non-null datetime64[ns]\n",
" 1 y 510 non-null int64 \n",
"dtypes: datetime64[ns](1), int64(1)\n",
"memory usage: 12.0+ KB\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 102 entries, retail to retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk\n",
"Data columns (total 2 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 ds 102 non-null datetime64[ns]\n",
" 1 y 102 non-null int64 \n",
"dtypes: datetime64[ns](1), int64(1)\n",
"memory usage: 2.4+ KB\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(None, None)"
]
},
"metadata": {},
"execution_count": 10
}
]
},
{
"cell_type": "markdown",
"source": [
"## Evaluation Criteria"
],
"metadata": {
"id": "aiZoYEADbdgY"
}
},
{
"cell_type": "code",
"source": [
"metric = \"mse\"\n",
"stat_level = \"all_acc/ch/acc/all_prods/cat/brand/sku\""
],
"metadata": {
"id": "B0rHIijBbglp"
},
"execution_count": 11,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"## Get Forecasts\n",
"\n",
"- If you have insample foreasts, you can apply more reconciliation methods\n",
"- Without in-sample forecasts, you can still apply reconciliation, but the available methods are limited in that case."
],
"metadata": {
"id": "6F224xs3b15B"
}
},
{
"cell_type": "code",
"source": [
"seed = 42\n",
"random.seed(seed)\n",
"np.random.seed(seed)\n",
"\n",
"def add_best_fit(y, name=\"best_fit\"):\n",
" best_model = np.random.choice([\"model1\", \"model2\"])\n",
" y[name] = y[best_model].copy()\n",
" return y\n",
"\n",
"# Creating random forecasts (non-reconciled)\n",
"Ys = pd.DataFrame(Y_hier_df[[\"unique_id\", \"ds\", \"y\"]].copy())\n",
"Ys[\"model1\"] = [random.randint(0, 100) for _ in np.arange(len(Y_hier_df))]\n",
"Ys[\"model2\"] = [random.randint(0, 100) for _ in np.arange(len(Y_hier_df))]\n",
"Ys = Ys.groupby(\"unique_id\").apply(add_best_fit, name=\"benchmark\")\n",
"\n",
"\n",
"Y_hat_df = Ys.groupby('unique_id').tail(FH) # Out of Sample Predictions\n",
"Y_hat_df = Y_hat_df.drop(columns=\"y\")\n",
"Y_fitted_df = Ys.drop(Y_hat_df.index) # Insample Predictions\n",
"\n",
"Y_hat_df = Y_hat_df.set_index('unique_id')\n",
"Y_fitted_df = Y_fitted_df.set_index('unique_id')\n",
"\n",
"print(Y_hat_df.info(), Y_fitted_df.info())\n",
"\n",
"Y_hat_df"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 872
},
"id": "D5zj8jufQGbw",
"outputId": "16de1eb7-bcd8-4cf8-dd59-5b5108e93c52"
},
"execution_count": 12,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 102 entries, retail to retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk\n",
"Data columns (total 4 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 ds 102 non-null datetime64[ns]\n",
" 1 model1 102 non-null int64 \n",
" 2 model2 102 non-null int64 \n",
" 3 benchmark 102 non-null int64 \n",
"dtypes: datetime64[ns](1), int64(3)\n",
"memory usage: 4.0+ KB\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 510 entries, retail to retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk\n",
"Data columns (total 5 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 ds 510 non-null datetime64[ns]\n",
" 1 y 510 non-null int64 \n",
" 2 model1 510 non-null int64 \n",
" 3 model2 510 non-null int64 \n",
" 4 benchmark 510 non-null int64 \n",
"dtypes: datetime64[ns](1), int64(4)\n",
"memory usage: 23.9+ KB\n",
"None None\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
" ds model1 model2 \\\n",
"unique_id \n",
"retail 2022-11-01 86 55 \n",
"retail 2022-12-01 94 100 \n",
"retail/mass_market 2022-11-01 77 60 \n",
"retail/mass_market 2022-12-01 3 94 \n",
"retail/wholesale 2022-11-01 35 96 \n",
"... ... ... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 2022-12-01 8 65 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-11-01 85 96 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-12-01 52 63 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-11-01 86 89 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-12-01 95 62 \n",
"\n",
" benchmark \n",
"unique_id \n",
"retail 86 \n",
"retail 94 \n",
"retail/mass_market 60 \n",
"retail/mass_market 94 \n",
"retail/wholesale 96 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 8 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 96 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 63 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 86 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 95 \n",
"\n",
"[102 rows x 4 columns]"
],
"text/html": [
"\n",
" <div id=\"df-21c1499d-d13a-45b6-97a3-f8d98798f341\">\n",
" <div 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>ds</th>\n",
" <th>model1</th>\n",
" <th>model2</th>\n",
" <th>benchmark</th>\n",
" </tr>\n",
" <tr>\n",
" <th>unique_id</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>retail</th>\n",
" <td>2022-11-01</td>\n",
" <td>86</td>\n",
" <td>55</td>\n",
" <td>86</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail</th>\n",
" <td>2022-12-01</td>\n",
" <td>94</td>\n",
" <td>100</td>\n",
" <td>94</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market</th>\n",
" <td>2022-11-01</td>\n",
" <td>77</td>\n",
" <td>60</td>\n",
" <td>60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market</th>\n",
" <td>2022-12-01</td>\n",
" <td>3</td>\n",
" <td>94</td>\n",
" <td>94</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale</th>\n",
" <td>2022-11-01</td>\n",
" <td>35</td>\n",
" <td>96</td>\n",
" <td>96</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/buterfinger/bf_8pk</th>\n",
" <td>2022-12-01</td>\n",
" <td>8</td>\n",
" <td>65</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/kitkat/kk_1pk</th>\n",
" <td>2022-11-01</td>\n",
" <td>85</td>\n",
" <td>96</td>\n",
" <td>96</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/kitkat/kk_1pk</th>\n",
" <td>2022-12-01</td>\n",
" <td>52</td>\n",
" <td>63</td>\n",
" <td>63</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk</th>\n",
" <td>2022-11-01</td>\n",
" <td>86</td>\n",
" <td>89</td>\n",
" <td>86</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk</th>\n",
" <td>2022-12-01</td>\n",
" <td>95</td>\n",
" <td>62</td>\n",
" <td>95</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>102 rows × 4 columns</p>\n",
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},
"metadata": {},
"execution_count": 12
}
]
},
{
"cell_type": "markdown",
"source": [
"## Reconcile Forecasts"
],
"metadata": {
"id": "tQ1N6ROlcJi3"
}
},
{
"cell_type": "code",
"source": [
"# You can select a reconciler from our collection\n",
"reconcilers = [\n",
" BottomUp(),\n",
" TopDown(method='forecast_proportions'),\n",
" # TopDown(method='average_proportions'),\n",
" # TopDown(method='proportion_averages'),\n",
" MinTrace(method='ols'),\n",
" # MinTrace(method='wls_var'),\n",
" # MinTrace(method='mint_shrink'),\n",
" # #ERM(method='reg_bu', lambda_reg=100) # Extremely inneficient\n",
" ERM(method='closed')\n",
"]\n",
"hrec = HierarchicalReconciliation(reconcilers=reconcilers)\n",
"\n"
],
"metadata": {
"id": "FJLTFWnlPpHn"
},
"execution_count": 13,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "TTIXgqNl4fCg"
},
"execution_count": 13,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"### Full Hierarchy"
],
"metadata": {
"id": "OeUPC_1x4hZM"
}
},
{
"cell_type": "code",
"source": [
"Y_rec_df = hrec.reconcile(Y_hat_df=Y_hat_df, \n",
" Y_df=Y_fitted_df,\n",
" S=S_df, tags=tags)\n",
"Y_rec_df.groupby('unique_id').head(FH)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 727
},
"id": "9BV6bbRD4efg",
"outputId": "b08e2e40-199c-40e9-8119-9adbd1816717"
},
"execution_count": 14,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" ds model1 model2 \\\n",
"unique_id \n",
"retail 2022-11-01 86 55 \n",
"retail 2022-12-01 94 100 \n",
"retail/mass_market 2022-11-01 77 60 \n",
"retail/mass_market 2022-12-01 3 94 \n",
"retail/wholesale 2022-11-01 35 96 \n",
"... ... ... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 2022-12-01 8 65 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-11-01 85 96 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-12-01 52 63 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-11-01 86 89 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-12-01 95 62 \n",
"\n",
" benchmark \\\n",
"unique_id \n",
"retail 86 \n",
"retail 94 \n",
"retail/mass_market 60 \n",
"retail/mass_market 94 \n",
"retail/wholesale 96 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 8 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 96 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 63 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 86 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 95 \n",
"\n",
" model1/BottomUp \\\n",
"unique_id \n",
"retail 1356.0 \n",
"retail 1183.0 \n",
"retail/mass_market 850.0 \n",
"retail/mass_market 768.0 \n",
"retail/wholesale 506.0 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 8.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 85.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 52.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 86.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 95.0 \n",
"\n",
" model2/BottomUp \\\n",
"unique_id \n",
"retail 1322.0 \n",
"retail 1349.0 \n",
"retail/mass_market 756.0 \n",
"retail/mass_market 907.0 \n",
"retail/wholesale 566.0 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 65.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 96.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 63.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 89.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 62.0 \n",
"\n",
" benchmark/BottomUp \\\n",
"unique_id \n",
"retail 1318.0 \n",
"retail 1200.0 \n",
"retail/mass_market 838.0 \n",
"retail/mass_market 763.0 \n",
"retail/wholesale 480.0 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 8.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 96.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 63.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 86.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 95.0 \n",
"\n",
" model1/TopDown_method-forecast_proportions \\\n",
"unique_id \n",
"retail 86 \n",
"retail 94 \n",
"retail/mass_market 59 \n",
"retail/mass_market 94 \n",
"retail/wholesale 26 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0 \n",
"\n",
" model2/TopDown_method-forecast_proportions \\\n",
"unique_id \n",
"retail 55 \n",
"retail 100 \n",
"retail/mass_market 21 \n",
"retail/mass_market 75 \n",
"retail/wholesale 33 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 3 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 1 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 1 \n",
"\n",
" benchmark/TopDown_method-forecast_proportions \\\n",
"unique_id \n",
"retail 86 \n",
"retail 94 \n",
"retail/mass_market 33 \n",
"retail/mass_market 71 \n",
"retail/wholesale 52 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 1 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 3 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 1 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 3 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 3 \n",
"\n",
" model1/MinTrace_method-ols \\\n",
"unique_id \n",
"retail 134.280615 \n",
"retail 129.103123 \n",
"retail/mass_market 93.320773 \n",
"retail/mass_market 63.291026 \n",
"retail/wholesale 40.959841 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... -19.077059 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... -3.832401 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... -7.077059 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... -2.832401 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 35.922941 \n",
"\n",
" model2/MinTrace_method-ols \\\n",
"unique_id \n",
"retail 190.451165 \n",
"retail 168.158156 \n",
"retail/mass_market 101.148240 \n",
"retail/mass_market 103.037680 \n",
"retail/wholesale 89.302925 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 24.116250 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 12.424770 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2.449583 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 5.424770 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 1.449583 \n",
"\n",
" benchmark/MinTrace_method-ols \\\n",
"unique_id \n",
"retail 166.899355 \n",
"retail 149.669807 \n",
"retail/mass_market 95.066931 \n",
"retail/mass_market 86.520079 \n",
"retail/wholesale 71.832424 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... -7.540808 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 16.657624 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... -2.207475 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 6.657624 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 29.792525 \n",
"\n",
" model1/ERM_method-closed_lambda_reg-0.01 \\\n",
"unique_id \n",
"retail 934.696516 \n",
"retail 952.136062 \n",
"retail/mass_market 591.891370 \n",
"retail/mass_market 594.794220 \n",
"retail/wholesale 342.805148 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 17.573471 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 28.647843 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 45.767197 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 44.458937 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 56.372737 \n",
"\n",
" model2/ERM_method-closed_lambda_reg-0.01 \\\n",
"unique_id \n",
"retail 1426.709378 \n",
"retail 1232.368081 \n",
"retail/mass_market 892.371913 \n",
"retail/mass_market 776.816814 \n",
"retail/wholesale 534.337480 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 18.189518 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 66.308788 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 45.051403 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 82.953377 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 63.483301 \n",
"\n",
" benchmark/ERM_method-closed_lambda_reg-0.01 \n",
"unique_id \n",
"retail 1259.781237 \n",
"retail 1059.395600 \n",
"retail/mass_market 793.030093 \n",
"retail/mass_market 660.212337 \n",
"retail/wholesale 466.751136 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 20.591135 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 48.226199 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 54.154791 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 66.347510 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 64.883180 \n",
"\n",
"[102 rows x 16 columns]"
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" <th>ds</th>\n",
" <th>model1</th>\n",
" <th>model2</th>\n",
" <th>benchmark</th>\n",
" <th>model1/BottomUp</th>\n",
" <th>model2/BottomUp</th>\n",
" <th>benchmark/BottomUp</th>\n",
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" <th>benchmark/ERM_method-closed_lambda_reg-0.01</th>\n",
" </tr>\n",
" <tr>\n",
" <th>unique_id</th>\n",
" <th></th>\n",
" <th></th>\n",
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" <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>retail</th>\n",
" <td>2022-11-01</td>\n",
" <td>86</td>\n",
" <td>55</td>\n",
" <td>86</td>\n",
" <td>1356.0</td>\n",
" <td>1322.0</td>\n",
" <td>1318.0</td>\n",
" <td>86</td>\n",
" <td>55</td>\n",
" <td>86</td>\n",
" <td>134.280615</td>\n",
" <td>190.451165</td>\n",
" <td>166.899355</td>\n",
" <td>934.696516</td>\n",
" <td>1426.709378</td>\n",
" <td>1259.781237</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail</th>\n",
" <td>2022-12-01</td>\n",
" <td>94</td>\n",
" <td>100</td>\n",
" <td>94</td>\n",
" <td>1183.0</td>\n",
" <td>1349.0</td>\n",
" <td>1200.0</td>\n",
" <td>94</td>\n",
" <td>100</td>\n",
" <td>94</td>\n",
" <td>129.103123</td>\n",
" <td>168.158156</td>\n",
" <td>149.669807</td>\n",
" <td>952.136062</td>\n",
" <td>1232.368081</td>\n",
" <td>1059.395600</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market</th>\n",
" <td>2022-11-01</td>\n",
" <td>77</td>\n",
" <td>60</td>\n",
" <td>60</td>\n",
" <td>850.0</td>\n",
" <td>756.0</td>\n",
" <td>838.0</td>\n",
" <td>59</td>\n",
" <td>21</td>\n",
" <td>33</td>\n",
" <td>93.320773</td>\n",
" <td>101.148240</td>\n",
" <td>95.066931</td>\n",
" <td>591.891370</td>\n",
" <td>892.371913</td>\n",
" <td>793.030093</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market</th>\n",
" <td>2022-12-01</td>\n",
" <td>3</td>\n",
" <td>94</td>\n",
" <td>94</td>\n",
" <td>768.0</td>\n",
" <td>907.0</td>\n",
" <td>763.0</td>\n",
" <td>94</td>\n",
" <td>75</td>\n",
" <td>71</td>\n",
" <td>63.291026</td>\n",
" <td>103.037680</td>\n",
" <td>86.520079</td>\n",
" <td>594.794220</td>\n",
" <td>776.816814</td>\n",
" <td>660.212337</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale</th>\n",
" <td>2022-11-01</td>\n",
" <td>35</td>\n",
" <td>96</td>\n",
" <td>96</td>\n",
" <td>506.0</td>\n",
" <td>566.0</td>\n",
" <td>480.0</td>\n",
" <td>26</td>\n",
" <td>33</td>\n",
" <td>52</td>\n",
" <td>40.959841</td>\n",
" <td>89.302925</td>\n",
" <td>71.832424</td>\n",
" <td>342.805148</td>\n",
" <td>534.337480</td>\n",
" <td>466.751136</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",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/buterfinger/bf_8pk</th>\n",
" <td>2022-12-01</td>\n",
" <td>8</td>\n",
" <td>65</td>\n",
" <td>8</td>\n",
" <td>8.0</td>\n",
" <td>65.0</td>\n",
" <td>8.0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>-19.077059</td>\n",
" <td>24.116250</td>\n",
" <td>-7.540808</td>\n",
" <td>17.573471</td>\n",
" <td>18.189518</td>\n",
" <td>20.591135</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/kitkat/kk_1pk</th>\n",
" <td>2022-11-01</td>\n",
" <td>85</td>\n",
" <td>96</td>\n",
" <td>96</td>\n",
" <td>85.0</td>\n",
" <td>96.0</td>\n",
" <td>96.0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>-3.832401</td>\n",
" <td>12.424770</td>\n",
" <td>16.657624</td>\n",
" <td>28.647843</td>\n",
" <td>66.308788</td>\n",
" <td>48.226199</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/kitkat/kk_1pk</th>\n",
" <td>2022-12-01</td>\n",
" <td>52</td>\n",
" <td>63</td>\n",
" <td>63</td>\n",
" <td>52.0</td>\n",
" <td>63.0</td>\n",
" <td>63.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>-7.077059</td>\n",
" <td>2.449583</td>\n",
" <td>-2.207475</td>\n",
" <td>45.767197</td>\n",
" <td>45.051403</td>\n",
" <td>54.154791</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk</th>\n",
" <td>2022-11-01</td>\n",
" <td>86</td>\n",
" <td>89</td>\n",
" <td>86</td>\n",
" <td>86.0</td>\n",
" <td>89.0</td>\n",
" <td>86.0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>-2.832401</td>\n",
" <td>5.424770</td>\n",
" <td>6.657624</td>\n",
" <td>44.458937</td>\n",
" <td>82.953377</td>\n",
" <td>66.347510</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk</th>\n",
" <td>2022-12-01</td>\n",
" <td>95</td>\n",
" <td>62</td>\n",
" <td>95</td>\n",
" <td>95.0</td>\n",
" <td>62.0</td>\n",
" <td>95.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>35.922941</td>\n",
" <td>1.449583</td>\n",
" <td>29.792525</td>\n",
" <td>56.372737</td>\n",
" <td>63.483301</td>\n",
" <td>64.883180</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>102 rows × 16 columns</p>\n",
"</div>\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9f2c2988-50e5-4e3d-bf63-e26e18847074')\"\n",
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"\n",
" async function convertToInteractive(key) {\n",
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" 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",
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" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 14
}
]
},
{
"cell_type": "markdown",
"source": [
"#### Evaluate Reconciled Results"
],
"metadata": {
"id": "Wdy4pp6zcOrm"
}
},
{
"cell_type": "code",
"source": [
"def mse(y, y_hat):\n",
" return np.round(np.mean((y-y_hat)**2),2)\n",
"\n",
"# def accuracy(y, y_hat):\n",
"# return 1-np.sum(np.abs(y-y_hat))/np.sum(y)\n",
"\n",
"evaluator = HierarchicalEvaluation(evaluators=[mse])"
],
"metadata": {
"id": "ZGip95qfQzJQ"
},
"execution_count": 15,
"outputs": []
},
{
"cell_type": "code",
"source": [
"evaluation = evaluator.evaluate(\n",
" Y_hat_df=Y_rec_df, Y_test_df=Y_test_df, \n",
" tags=tags\n",
")\n",
"evaluation = evaluation.T"
],
"metadata": {
"id": "XlTq-e1hXxCD"
},
"execution_count": 16,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"##### Without reconciliation (reference)"
],
"metadata": {
"id": "c3llVxN_fHPw"
}
},
{
"cell_type": "code",
"source": [
"benchmark_metric = evaluation.loc[\"benchmark\"][stat_level][\"mse\"]\n",
"evaluation.loc[[\"model1\", \"model2\", \"benchmark\"]][stat_level]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 143
},
"id": "FCWrI0LTX1H7",
"outputId": "03047edb-0fdf-4c9d-c02c-0097b8616f4d"
},
"execution_count": 17,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"metric mse\n",
"model1 2311.23\n",
"model2 1620.19\n",
"benchmark 1565.79"
],
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" 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",
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]
},
"metadata": {},
"execution_count": 17
}
]
},
{
"cell_type": "markdown",
"source": [
"##### With reconciliation"
],
"metadata": {
"id": "ov4Yq63ZfJR0"
}
},
{
"cell_type": "code",
"source": [
"evaluation[stat_level]"
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"colab": {
"base_uri": "https://localhost:8080/",
"height": 520
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"id": "KuJPI_AlX7xj",
"outputId": "a453e85b-a13f-4276-f64d-a435e9d867ec"
},
"execution_count": 18,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"metric mse\n",
"model1 2311.23\n",
"model2 1620.19\n",
"benchmark 1565.79\n",
"model1/BottomUp 2311.23\n",
"model2/BottomUp 1620.19\n",
"benchmark/BottomUp 1565.79\n",
"model1/TopDown_method-forecast_proportions 2402.27\n",
"model2/TopDown_method-forecast_proportions 2423.56\n",
"benchmark/TopDown_method-forecast_proportions 2383.27\n",
"model1/MinTrace_method-ols 2860.01\n",
"model2/MinTrace_method-ols 2353.12\n",
"benchmark/MinTrace_method-ols 2401.94\n",
"model1/ERM_method-closed_lambda_reg-0.01 1130.51\n",
"model2/ERM_method-closed_lambda_reg-0.01 1687.14\n",
"benchmark/ERM_method-closed_lambda_reg-0.01 1329.74"
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" .colab-df-container {\n",
" display:flex;\n",
" flex-wrap:wrap;\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",
" [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-e971bf0f-c7fa-454d-87b6-fba209691f3c 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-e971bf0f-c7fa-454d-87b6-fba209691f3c');\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",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 18
}
]
},
{
"cell_type": "markdown",
"source": [
"#### Choose Best Method"
],
"metadata": {
"id": "J297pihGcUNU"
}
},
{
"cell_type": "code",
"source": [
"# Best Method\n",
"best_metric = evaluation[stat_level][metric].min()\n",
"best_method = evaluation[evaluation[stat_level][metric] == best_metric].index[0]\n",
"print(f\"Benchmark {metric}: {benchmark_metric}\")\n",
"print(f\"Best {metric}: {best_metric} obtained using {best_method}\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "PHus3XbdYa5Q",
"outputId": "3032a29e-601d-4e24-e75a-42402b59cac6"
},
"execution_count": 19,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Benchmark mse: 1565.79\n",
"Best mse: 1130.51 obtained using model1/ERM_method-closed_lambda_reg-0.01\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# evaluation_scaled = evaluator.evaluate(\n",
"# Y_hat_df=Y_rec_df, Y_test_df=Y_test_df, \n",
"# tags=tags, benchmark='benchmark'\n",
"# )\n",
"# evaluation_scaled = evaluation_scaled.T"
],
"metadata": {
"id": "lST8iCfvkagD"
},
"execution_count": 20,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# evaluation_scaled.loc[[\"model1\", \"model2\", \"benchmark\"]]"
],
"metadata": {
"id": "ttJ1hk5KXnj6"
},
"execution_count": 21,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# evaluation_scaled[evaluation_scaled[stat_level][f\"{metric}-scaled\"] == evaluation_scaled[stat_level][f\"{metric}-scaled\"].min()].index[0]"
],
"metadata": {
"id": "lyTZm0NSVndr"
},
"execution_count": 22,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"### Limited Hierarchies\n",
"\n",
"Goal: See if reducing the number of hierarchies helps improve the results"
],
"metadata": {
"id": "UHcLHqRItMK5"
}
},
{
"cell_type": "code",
"source": [
"# Create hierarchical structure and constraints\n",
"hierarchy_levels2 = [\n",
" ['all_acc', 'ch', 'acc', 'all_prods'],\n",
" ['all_acc', 'ch', 'acc', 'all_prods', 'cat'],\n",
" ['all_acc', 'ch', 'acc', 'all_prods', 'cat', 'brand'],\n",
" ['all_acc', 'ch', 'acc', 'all_prods', 'cat', 'brand', 'sku']\n",
" ]\n",
"Y_hier_df2, S_df2, tags2 = aggregate(df=bottom_df, spec=hierarchy_levels2)\n",
"Y_hier_df2 = Y_hier_df2.reset_index()\n",
"print('S_df.shape', S_df2.shape)\n",
"print('Y_hier_df.shape', Y_hier_df2.shape)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "DQSUMRVqtN9w",
"outputId": "44dc71c4-bbf7-4505-969f-4055ee1b9e3c"
},
"execution_count": 23,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"S_df.shape (45, 24)\n",
"Y_hier_df.shape (540, 3)\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"S_df2"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "jRalYwB8typC",
"outputId": "adf3fe6a-3e13-4723-eeb3-ce87401d779c"
},
"execution_count": 24,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" retail/mass_market/kroger/retail/baby_food/cerelac/cer_32oz \\\n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 1.0 \n",
"retail/mass_market/kroger/retail/chocolate 0.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 1.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
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"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
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"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
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"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/baby_food/cerelac/cer_64oz \\\n",
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"retail/mass_market/walmart/retail 0.0 \n",
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"retail/wholesale/sams/retail/baby_food/cerelac/... 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
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"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
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"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/baby_food/gerber/ger_32oz \\\n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 1.0 \n",
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"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
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"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
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"retail/wholesale/sams/retail/baby_food/gerber/g... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/baby_food/gerber/ger_64oz \\\n",
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"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 1.0 \n",
"retail/mass_market/kroger/retail/chocolate 0.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
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"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cere... 0.0 \n",
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"retail/wholesale/sams/retail/chocolate/buterfin... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" retail/mass_market/kroger/retail/chocolate/buterfinger/bf_1pk \\\n",
"retail/mass_market/kroger/retail 1.0 \n",
"retail/mass_market/walmart/retail 0.0 \n",
"retail/wholesale/sams/retail 0.0 \n",
"retail/mass_market/kroger/retail/baby_food 0.0 \n",
"retail/mass_market/kroger/retail/chocolate 1.0 \n",
"retail/mass_market/walmart/retail/baby_food 0.0 \n",
"retail/mass_market/walmart/retail/chocolate 0.0 \n",
"retail/wholesale/sams/retail/baby_food 0.0 \n",
"retail/wholesale/sams/retail/chocolate 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/cerelac 0.0 \n",
"retail/mass_market/kroger/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/kroger/retail/chocolate/bute... 1.0 \n",
"retail/mass_market/kroger/retail/chocolate/kitkat 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/cer... 0.0 \n",
"retail/mass_market/walmart/retail/baby_food/gerber 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/but... 0.0 \n",
"retail/mass_market/walmart/retail/chocolate/kitkat 0.0 \n",
"retail/wholesale/sams/retail/baby_food/cerelac 0.0 \n",
"retail/wholesale/sams/retail/baby_food/gerber 0.0 \n",
"retail/wholesale/sams/retail/chocolate/buterfinger 0.0 \n",
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"\n",
" retail/mass_market/kroger/retail/chocolate/buterfinger/bf_8pk \\\n",
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"\n",
" retail/mass_market/kroger/retail/chocolate/kitkat/kk_1pk \\\n",
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"\n",
" retail/mass_market/kroger/retail/chocolate/kitkat/kk_8pk \\\n",
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"\n",
" retail/mass_market/walmart/retail/baby_food/cerelac/cer_32oz \\\n",
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"retail/mass_market/kroger/retail/baby_food 0.0 \n",
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"\n",
" retail/mass_market/walmart/retail/baby_food/cerelac/cer_64oz \\\n",
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"retail/wholesale/sams/retail/chocolate/kitkat/k... 0.0 \n",
"\n",
" ... \\\n",
"retail/mass_market/kroger/retail ... \n",
"retail/mass_market/walmart/retail ... \n",
"retail/wholesale/sams/retail ... \n",
"retail/mass_market/kroger/retail/baby_food ... \n",
"retail/mass_market/kroger/retail/chocolate ... \n",
"retail/mass_market/walmart/retail/baby_food ... \n",
"retail/mass_market/walmart/retail/chocolate ... \n",
"retail/wholesale/sams/retail/baby_food ... \n",
"retail/wholesale/sams/retail/chocolate ... \n",
"retail/mass_market/kroger/retail/baby_food/cerelac ... \n",
"retail/mass_market/kroger/retail/baby_food/gerber ... \n",
"retail/mass_market/kroger/retail/chocolate/bute... ... \n",
"retail/mass_market/kroger/retail/chocolate/kitkat ... \n",
"retail/mass_market/walmart/retail/baby_food/cer... ... \n",
"retail/mass_market/walmart/retail/baby_food/gerber ... \n",
"retail/mass_market/walmart/retail/chocolate/but... ... \n",
"retail/mass_market/walmart/retail/chocolate/kitkat ... \n",
"retail/wholesale/sams/retail/baby_food/cerelac ... \n",
"retail/wholesale/sams/retail/baby_food/gerber ... \n",
"retail/wholesale/sams/retail/chocolate/buterfinger ... \n",
"retail/wholesale/sams/retail/chocolate/kitkat ... \n",
"retail/mass_market/kroger/retail/baby_food/cere... ... \n",
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"retail/mass_market/kroger/retail/baby_food/gerb... ... \n",
"retail/mass_market/kroger/retail/chocolate/bute... ... \n",
"retail/mass_market/kroger/retail/chocolate/bute... ... \n",
"retail/mass_market/kroger/retail/chocolate/kitk... ... \n",
"retail/mass_market/kroger/retail/chocolate/kitk... ... \n",
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"\n",
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"\n",
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" <tr>\n",
" <th>retail/mass_market/walmart/retail/chocolate</th>\n",
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" <tr>\n",
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" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate</th>\n",
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" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food/cerelac</th>\n",
" <td>1.0</td>\n",
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" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food/gerber</th>\n",
" <td>0.0</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/chocolate/buterfinger</th>\n",
" <td>0.0</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/chocolate/kitkat</th>\n",
" <td>0.0</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/walmart/retail/baby_food/cerelac</th>\n",
" <td>0.0</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/walmart/retail/baby_food/gerber</th>\n",
" <td>0.0</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/walmart/retail/chocolate/buterfinger</th>\n",
" <td>0.0</td>\n",
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" <tr>\n",
" <th>retail/mass_market/walmart/retail/chocolate/kitkat</th>\n",
" <td>0.0</td>\n",
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" <tr>\n",
" <th>retail/wholesale/sams/retail/baby_food/cerelac</th>\n",
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" <th>retail/wholesale/sams/retail/baby_food/gerber</th>\n",
" <td>0.0</td>\n",
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" <tr>\n",
" <th>retail/wholesale/sams/retail/chocolate/buterfinger</th>\n",
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" <tr>\n",
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" </tr>\n",
" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food/cerelac/cer_32oz</th>\n",
" <td>1.0</td>\n",
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" <tr>\n",
" <th>retail/mass_market/kroger/retail/baby_food/cerelac/cer_64oz</th>\n",
" <td>0.0</td>\n",
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" <th>retail/mass_market/kroger/retail/baby_food/gerber/ger_32oz</th>\n",
" <td>0.0</td>\n",
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" <th>retail/mass_market/kroger/retail/baby_food/gerber/ger_64oz</th>\n",
" <td>0.0</td>\n",
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" <tr>\n",
" <th>retail/mass_market/kroger/retail/chocolate/buterfinger/bf_1pk</th>\n",
" <td>0.0</td>\n",
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" <tr>\n",
" <th>retail/mass_market/kroger/retail/chocolate/buterfinger/bf_8pk</th>\n",
" <td>0.0</td>\n",
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" <tr>\n",
" <th>retail/mass_market/kroger/retail/chocolate/kitkat/kk_1pk</th>\n",
" <td>0.0</td>\n",
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" </tr>\n",
" <tr>\n",
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" <td>0.0</td>\n",
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" <tr>\n",
" <th>retail/mass_market/walmart/retail/baby_food/cerelac/cer_32oz</th>\n",
" <td>0.0</td>\n",
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"</table>\n",
"<p>45 rows × 24 columns</p>\n",
"</div>\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f64affc0-879f-4853-8cf2-42a19af4d22d')\"\n",
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" \n",
" <style>\n",
" .colab-df-container {\n",
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" [theme=dark] .colab-df-convert {\n",
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]
},
"metadata": {},
"execution_count": 24
}
]
},
{
"cell_type": "code",
"source": [
"hplot = HierarchicalPlot(S=S_df2, tags=tags2)\n",
"hplot.plot_summing_matrix()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 417
},
"id": "LTzy_D1Nte4D",
"outputId": "5a30f77b-9044-4526-f9a4-ae55b68b099b"
},
"execution_count": 25,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 320x480 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"diff_index = Y_hat_df.index.difference(S_df2.index.unique())\n",
"diff_index"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "uWDMy3EMuGnh",
"outputId": "02504b47-7360-4b82-cf04-982c11d8939f"
},
"execution_count": 26,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['retail', 'retail/mass_market', 'retail/mass_market/kroger',\n",
" 'retail/mass_market/walmart', 'retail/wholesale',\n",
" 'retail/wholesale/sams'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 26
}
]
},
{
"cell_type": "code",
"source": [
"Y_hat_df2 = Y_hat_df.drop(index=diff_index)\n",
"Y_fitted_df2 = Y_fitted_df.drop(index=diff_index)\n",
"Y_test_df2 = Y_test_df.drop(index=diff_index)\n",
"\n",
"Y_hat_df2.index.difference(S_df2.index.unique()), Y_fitted_df2.index.difference(S_df2.index.unique()), Y_test_df2.index.difference(S_df2.index.unique())"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "sIdW6zwyuLxn",
"outputId": "5dc67c63-7b44-4ebd-c6d3-68bce970a078"
},
"execution_count": 27,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(Index([], dtype='object'),\n",
" Index([], dtype='object'),\n",
" Index([], dtype='object'))"
]
},
"metadata": {},
"execution_count": 27
}
]
},
{
"cell_type": "code",
"source": [
"Y_test_df.index"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Ui31v3F96pgi",
"outputId": "2250c4d2-45ae-403c-c050-a85ed4173c9d"
},
"execution_count": 28,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['retail', 'retail', 'retail/mass_market', 'retail/mass_market',\n",
" 'retail/wholesale', 'retail/wholesale', 'retail/mass_market/kroger',\n",
" 'retail/mass_market/kroger', 'retail/mass_market/walmart',\n",
" 'retail/mass_market/walmart',\n",
" ...\n",
" 'retail/wholesale/sams/retail/baby_food/gerber/ger_64oz',\n",
" 'retail/wholesale/sams/retail/baby_food/gerber/ger_64oz',\n",
" 'retail/wholesale/sams/retail/chocolate/buterfinger/bf_1pk',\n",
" 'retail/wholesale/sams/retail/chocolate/buterfinger/bf_1pk',\n",
" 'retail/wholesale/sams/retail/chocolate/buterfinger/bf_8pk',\n",
" 'retail/wholesale/sams/retail/chocolate/buterfinger/bf_8pk',\n",
" 'retail/wholesale/sams/retail/chocolate/kitkat/kk_1pk',\n",
" 'retail/wholesale/sams/retail/chocolate/kitkat/kk_1pk',\n",
" 'retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk',\n",
" 'retail/wholesale/sams/retail/chocolate/kitkat/kk_8pk'],\n",
" dtype='object', name='unique_id', length=102)"
]
},
"metadata": {},
"execution_count": 28
}
]
},
{
"cell_type": "code",
"source": [
"Y_rec_df2 = hrec.reconcile(Y_hat_df=Y_hat_df2, \n",
" Y_df=Y_fitted_df2,\n",
" S=S_df2, tags=tags2)\n",
"Y_rec_df2.groupby('unique_id').head(FH)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 727
},
"id": "tCP8yy7czTof",
"outputId": "f8402561-cc53-48bb-913d-0d7307fc0e3f"
},
"execution_count": 29,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" ds model1 model2 \\\n",
"unique_id \n",
"retail/mass_market/kroger/retail 2022-11-01 46 71 \n",
"retail/mass_market/kroger/retail 2022-12-01 20 76 \n",
"retail/mass_market/walmart/retail 2022-11-01 81 95 \n",
"retail/mass_market/walmart/retail 2022-12-01 21 60 \n",
"retail/wholesale/sams/retail 2022-11-01 28 80 \n",
"... ... ... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 2022-12-01 8 65 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-11-01 85 96 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-12-01 52 63 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-11-01 86 89 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 2022-12-01 95 62 \n",
"\n",
" benchmark \\\n",
"unique_id \n",
"retail/mass_market/kroger/retail 46 \n",
"retail/mass_market/kroger/retail 20 \n",
"retail/mass_market/walmart/retail 81 \n",
"retail/mass_market/walmart/retail 21 \n",
"retail/wholesale/sams/retail 80 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 8 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 96 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 63 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 86 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 95 \n",
"\n",
" model1/BottomUp \\\n",
"unique_id \n",
"retail/mass_market/kroger/retail 409.0 \n",
"retail/mass_market/kroger/retail 351.0 \n",
"retail/mass_market/walmart/retail 441.0 \n",
"retail/mass_market/walmart/retail 417.0 \n",
"retail/wholesale/sams/retail 506.0 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 8.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 85.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 52.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 86.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 95.0 \n",
"\n",
" model2/BottomUp \\\n",
"unique_id \n",
"retail/mass_market/kroger/retail 354.0 \n",
"retail/mass_market/kroger/retail 374.0 \n",
"retail/mass_market/walmart/retail 402.0 \n",
"retail/mass_market/walmart/retail 533.0 \n",
"retail/wholesale/sams/retail 566.0 \n",
"... ... \n",
"retail/wholesale/sams/retail/chocolate/buterfin... 65.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 96.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 63.0 \n",
"retail/wholesale/sams/retail/chocolate/kitkat/k... 89.0 \n",
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" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 29
}
]
},
{
"cell_type": "markdown",
"source": [
"#### Evaluate Reconciled Results"
],
"metadata": {
"id": "nBWbKd_D5Nss"
}
},
{
"cell_type": "code",
"source": [
"evaluation2 = evaluator.evaluate(Y_hat_df=Y_rec_df2, Y_test_df=Y_test_df2, tags=tags2)\n",
"evaluation2 = evaluation2.T"
],
"metadata": {
"id": "noiWGsM1zZOz"
},
"execution_count": 30,
"outputs": []
},
{
"cell_type": "code",
"source": [
"evaluation2.loc[[\"model1\", \"model2\", \"benchmark\"]][stat_level]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 143
},
"id": "k7VQ8rE0zxUr",
"outputId": "c92be858-784d-44fc-e9e5-83211242ef78"
},
"execution_count": 31,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"metric mse\n",
"model1 2311.23\n",
"model2 1620.19\n",
"benchmark 1565.79"
],
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" <th>model1</th>\n",
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" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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" const element = document.querySelector('#df-3d723d31-2358-46fc-be96-1f6d4222432d');\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",
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" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
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" }\n",
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" "
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"metadata": {},
"execution_count": 31
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]
},
{
"cell_type": "code",
"source": [
"evaluation2[stat_level]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 520
},
"id": "CnZJiYj00wly",
"outputId": "b60b0c05-4523-470e-e426-ce8357128a41"
},
"execution_count": 32,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"metric mse\n",
"model1 2311.23\n",
"model2 1620.19\n",
"benchmark 1565.79\n",
"model1/BottomUp 2311.23\n",
"model2/BottomUp 1620.19\n",
"benchmark/BottomUp 1565.79\n",
"model1/TopDown_method-forecast_proportions 2494.58\n",
"model2/TopDown_method-forecast_proportions 2419.21\n",
"benchmark/TopDown_method-forecast_proportions 2512.27\n",
"model1/MinTrace_method-ols 2474.9\n",
"model2/MinTrace_method-ols 1889.56\n",
"benchmark/MinTrace_method-ols 2008.37\n",
"model1/ERM_method-closed_lambda_reg-0.01 1163.41\n",
"model2/ERM_method-closed_lambda_reg-0.01 1637.31\n",
"benchmark/ERM_method-closed_lambda_reg-0.01 1357.17"
],
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"\n",
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" <thead>\n",
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" <th>metric</th>\n",
" <th>mse</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>model1</th>\n",
" <td>2311.23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>model2</th>\n",
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" <tr>\n",
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" <td>1565.79</td>\n",
" </tr>\n",
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" <th>model1/BottomUp</th>\n",
" <td>2311.23</td>\n",
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" <th>model2/BottomUp</th>\n",
" <td>1620.19</td>\n",
" </tr>\n",
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" <td>1565.79</td>\n",
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" <tr>\n",
" <th>model1/TopDown_method-forecast_proportions</th>\n",
" <td>2494.58</td>\n",
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" <td>2419.21</td>\n",
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" <td>2512.27</td>\n",
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" <td>2474.9</td>\n",
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" <th>model2/MinTrace_method-ols</th>\n",
" <td>1889.56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>benchmark/MinTrace_method-ols</th>\n",
" <td>2008.37</td>\n",
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" <tr>\n",
" <th>model1/ERM_method-closed_lambda_reg-0.01</th>\n",
" <td>1163.41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>model2/ERM_method-closed_lambda_reg-0.01</th>\n",
" <td>1637.31</td>\n",
" </tr>\n",
" <tr>\n",
" <th>benchmark/ERM_method-closed_lambda_reg-0.01</th>\n",
" <td>1357.17</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5ab9c202-58fd-4c47-98f0-1e3f8f17c986')\"\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 0 24 24\"\n",
" width=\"24px\">\n",
" <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
" <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
" </svg>\n",
" </button>\n",
" \n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" flex-wrap:wrap;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
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" border-radius: 50%;\n",
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" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
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" 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",
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" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
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" 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-5ab9c202-58fd-4c47-98f0-1e3f8f17c986 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-5ab9c202-58fd-4c47-98f0-1e3f8f17c986');\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",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 32
}
]
},
{
"cell_type": "code",
"source": [
"# Best Method\n",
"best_metric2 = evaluation2[stat_level][metric].min()\n",
"best_method2 = evaluation2[evaluation2[stat_level][metric] == best_metric2].index[0]\n",
"print(f\"Benchmark {metric}: {benchmark_metric}\")\n",
"print(f\"Full Hierarchy >> Best {metric}: {best_metric} obtained using {best_method}\")\n",
"print(f\"Limited Hierarchy >> Best {metric}: {best_metric2} obtained using {best_method2}\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-3Iuc0IK0yyS",
"outputId": "8c6f3644-3782-454b-dac8-5da29b755629"
},
"execution_count": 33,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Benchmark mse: 1565.79\n",
"Full Hierarchy >> Best mse: 1130.51 obtained using model1/ERM_method-closed_lambda_reg-0.01\n",
"Limited Hierarchy >> Best mse: 1163.41 obtained using model1/ERM_method-closed_lambda_reg-0.01\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"### Conclusion\n",
"\n",
"- With limited hierarchy, we are still able to reconcile but the results are not as good as the one with the full hierarchy. \n",
"- The addition of the full hierarchy adds extra \"useful\" information during the reconciliaton process.\n"
],
"metadata": {
"id": "fnuRSIYC4GJe"
}
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "N_iEp-EI6dew"
},
"execution_count": 33,
"outputs": []
}
]
}
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