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Created October 8, 2022 20:11
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"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Requirement already satisfied: pycaret==3.0.0rc3 in /usr/local/lib/python3.7/dist-packages (3.0.0rc3)\n",
"Requirement already satisfied: jinja2>=1.2 in /usr/local/lib/python3.7/dist-packages (from pycaret==3.0.0rc3) (2.11.3)\n",
"Requirement already satisfied: kaleido>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from pycaret==3.0.0rc3) (0.2.1)\n",
"Requirement already satisfied: tbats>=1.1.0 in /usr/local/lib/python3.7/dist-packages (from pycaret==3.0.0rc3) (1.1.1)\n",
"Requirement already satisfied: yellowbrick>=1.4 in /usr/local/lib/python3.7/dist-packages (from pycaret==3.0.0rc3) (1.5)\n",
"Requirement already satisfied: category-encoders>=2.4.0 in /usr/local/lib/python3.7/dist-packages (from pycaret==3.0.0rc3) (2.5.1.post0)\n",
"Requirement already satisfied: plotly-resampler>=0.7.2.2 in /usr/local/lib/python3.7/dist-packages (from pycaret==3.0.0rc3) (0.8.1)\n",
"Requirement already satisfied: requests>=2.27.1 in /usr/local/lib/python3.7/dist-packages (from pycaret==3.0.0rc3) (2.28.1)\n",
"Requirement already satisfied: joblib>=1.1.0 in /usr/local/lib/python3.7/dist-packages (from pycaret==3.0.0rc3) (1.2.0)\n",
"Requirement already satisfied: lightgbm>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from pycaret==3.0.0rc3) (3.3.2)\n",
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]
}
],
"source": [
"!pip install pycaret==3.0.0rc3"
]
},
{
"cell_type": "code",
"source": [
"import os\n",
"os.environ[\"PYCARET_CUSTOM_LOGGING_LEVEL\"] = \"CRITICAL\""
],
"metadata": {
"id": "b7dL66GUMhct"
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "code",
"source": [
"from pycaret.datasets import get_data\n",
"from pycaret.time_series import *"
],
"metadata": {
"id": "w-PnvR1xL91_"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "code",
"source": [
"df = get_data(\"airline\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 139
},
"id": "PQ6qsWnEMDPn",
"outputId": "65bc9ca5-a00d-4cc4-f011-b4f602a602bc"
},
"execution_count": 4,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"Period\n",
"1949-01 112.0\n",
"1949-02 118.0\n",
"1949-03 132.0\n",
"1949-04 129.0\n",
"1949-05 121.0\n",
"Freq: M, Name: Number of airline passengers, dtype: float64"
]
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"setup(df, fh=7, fold=3, session_id=123)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 882
},
"id": "kokMONu2MEZ1",
"outputId": "f35e1213-688e-40e3-8839-30f233451cc1"
},
"execution_count": 5,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<pandas.io.formats.style.Styler at 0x7f5dc0e89c50>"
],
"text/html": [
"<style type=\"text/css\">\n",
"#T_20146_row13_col1 {\n",
" background-color: lightgreen;\n",
"}\n",
"</style>\n",
"<table id=\"T_20146_\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th class=\"col_heading level0 col0\" >Description</th>\n",
" <th class=\"col_heading level0 col1\" >Value</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
" <td id=\"T_20146_row0_col0\" class=\"data row0 col0\" >session_id</td>\n",
" <td id=\"T_20146_row0_col1\" class=\"data row0 col1\" >123</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
" <td id=\"T_20146_row1_col0\" class=\"data row1 col0\" >Target</td>\n",
" <td id=\"T_20146_row1_col1\" class=\"data row1 col1\" >Number of airline passengers</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
" <td id=\"T_20146_row2_col0\" class=\"data row2 col0\" >Approach</td>\n",
" <td id=\"T_20146_row2_col1\" class=\"data row2 col1\" >Univariate</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
" <td id=\"T_20146_row3_col0\" class=\"data row3 col0\" >Exogenous Variables</td>\n",
" <td id=\"T_20146_row3_col1\" class=\"data row3 col1\" >Not Present</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
" <td id=\"T_20146_row4_col0\" class=\"data row4 col0\" >Original data shape</td>\n",
" <td id=\"T_20146_row4_col1\" class=\"data row4 col1\" >(144, 1)</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
" <td id=\"T_20146_row5_col0\" class=\"data row5 col0\" >Transformed data shape</td>\n",
" <td id=\"T_20146_row5_col1\" class=\"data row5 col1\" >(144, 1)</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
" <td id=\"T_20146_row6_col0\" class=\"data row6 col0\" >Transformed train set shape</td>\n",
" <td id=\"T_20146_row6_col1\" class=\"data row6 col1\" >(137, 1)</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
" <td id=\"T_20146_row7_col0\" class=\"data row7 col0\" >Transformed test set shape</td>\n",
" <td id=\"T_20146_row7_col1\" class=\"data row7 col1\" >(7, 1)</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
" <td id=\"T_20146_row8_col0\" class=\"data row8 col0\" >Rows with missing values</td>\n",
" <td id=\"T_20146_row8_col1\" class=\"data row8 col1\" >0.0%</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
" <td id=\"T_20146_row9_col0\" class=\"data row9 col0\" >Fold Generator</td>\n",
" <td id=\"T_20146_row9_col1\" class=\"data row9 col1\" >ExpandingWindowSplitter</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
" <td id=\"T_20146_row10_col0\" class=\"data row10 col0\" >Fold Number</td>\n",
" <td id=\"T_20146_row10_col1\" class=\"data row10 col1\" >3</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
" <td id=\"T_20146_row11_col0\" class=\"data row11 col0\" >Enforce Prediction Interval</td>\n",
" <td id=\"T_20146_row11_col1\" class=\"data row11 col1\" >False</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
" <td id=\"T_20146_row12_col0\" class=\"data row12 col0\" >Seasonal Period(s) Tested</td>\n",
" <td id=\"T_20146_row12_col1\" class=\"data row12 col1\" >12</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
" <td id=\"T_20146_row13_col0\" class=\"data row13 col0\" >Seasonality Present</td>\n",
" <td id=\"T_20146_row13_col1\" class=\"data row13 col1\" >True</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
" <td id=\"T_20146_row14_col0\" class=\"data row14 col0\" >Seasonalities Detected</td>\n",
" <td id=\"T_20146_row14_col1\" class=\"data row14 col1\" >[12]</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
" <td id=\"T_20146_row15_col0\" class=\"data row15 col0\" >Primary Seasonality</td>\n",
" <td id=\"T_20146_row15_col1\" class=\"data row15 col1\" >12</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
" <td id=\"T_20146_row16_col0\" class=\"data row16 col0\" >Target Strictly Positive</td>\n",
" <td id=\"T_20146_row16_col1\" class=\"data row16 col1\" >True</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
" <td id=\"T_20146_row17_col0\" class=\"data row17 col0\" >Target White Noise</td>\n",
" <td id=\"T_20146_row17_col1\" class=\"data row17 col1\" >No</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
" <td id=\"T_20146_row18_col0\" class=\"data row18 col0\" >Recommended d</td>\n",
" <td id=\"T_20146_row18_col1\" class=\"data row18 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
" <td id=\"T_20146_row19_col0\" class=\"data row19 col0\" >Recommended Seasonal D</td>\n",
" <td id=\"T_20146_row19_col1\" class=\"data row19 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
" <td id=\"T_20146_row20_col0\" class=\"data row20 col0\" >Preprocess</td>\n",
" <td id=\"T_20146_row20_col1\" class=\"data row20 col1\" >False</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
" <td id=\"T_20146_row21_col0\" class=\"data row21 col0\" >CPU Jobs</td>\n",
" <td id=\"T_20146_row21_col1\" class=\"data row21 col1\" >-1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
" <td id=\"T_20146_row22_col0\" class=\"data row22 col0\" >Use GPU</td>\n",
" <td id=\"T_20146_row22_col1\" class=\"data row22 col1\" >False</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
" <td id=\"T_20146_row23_col0\" class=\"data row23 col0\" >Log Experiment</td>\n",
" <td id=\"T_20146_row23_col1\" class=\"data row23 col1\" >False</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
" <td id=\"T_20146_row24_col0\" class=\"data row24 col0\" >Experiment Name</td>\n",
" <td id=\"T_20146_row24_col1\" class=\"data row24 col1\" >ts-default-name</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_20146_level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
" <td id=\"T_20146_row25_col0\" class=\"data row25 col0\" >USI</td>\n",
" <td id=\"T_20146_row25_col1\" class=\"data row25 col1\" >d40e</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
]
},
"metadata": {}
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<pycaret.time_series.forecasting.oop.TSForecastingExperiment at 0x7f5dca743e50>"
]
},
"metadata": {},
"execution_count": 5
}
]
},
{
"cell_type": "code",
"source": [
"best = compare_models()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 896,
"referenced_widgets": [
"20004775690a43588c05afa3a4b080db",
"cfa863f1c9e8443b9aea96cbf04ec01f",
"b7c7d02705754000954c67358326fac2",
"5589f5ce702c43a2b24449a59a01b9a6",
"67df935c4e084655a47eb1c7c81e5dbb",
"2502e435585a4ab5b2a86f062db121e8",
"36dbcb10395748d8b80eebf28820e1cd",
"550944064844401899e6aa212ad9aeed",
"d47a9046279e4110b3b0f25411d33b32",
"5dc04c63e13a4bde8e100bbf021f6dea",
"e3c2d0a1eb234f45a622ca72dfd66aeb"
]
},
"id": "-hP3YEf9MGpO",
"outputId": "c50ae606-c321-4fb8-b706-485d5ceb8ab0"
},
"execution_count": 6,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": []
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
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"</style>\n",
"<table id=\"T_04d29_\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th class=\"col_heading level0 col0\" >Model</th>\n",
" <th class=\"col_heading level0 col1\" >MASE</th>\n",
" <th class=\"col_heading level0 col2\" >RMSSE</th>\n",
" <th class=\"col_heading level0 col3\" >MAE</th>\n",
" <th class=\"col_heading level0 col4\" >RMSE</th>\n",
" <th class=\"col_heading level0 col5\" >MAPE</th>\n",
" <th class=\"col_heading level0 col6\" >SMAPE</th>\n",
" <th class=\"col_heading level0 col7\" >R2</th>\n",
" <th class=\"col_heading level0 col8\" >TT (Sec)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row0\" class=\"row_heading level0 row0\" >exp_smooth</th>\n",
" <td id=\"T_04d29_row0_col0\" class=\"data row0 col0\" >Exponential Smoothing</td>\n",
" <td id=\"T_04d29_row0_col1\" class=\"data row0 col1\" >0.4141</td>\n",
" <td id=\"T_04d29_row0_col2\" class=\"data row0 col2\" >0.4116</td>\n",
" <td id=\"T_04d29_row0_col3\" class=\"data row0 col3\" >12.1893</td>\n",
" <td id=\"T_04d29_row0_col4\" class=\"data row0 col4\" >13.7030</td>\n",
" <td id=\"T_04d29_row0_col5\" class=\"data row0 col5\" >0.0290</td>\n",
" <td id=\"T_04d29_row0_col6\" class=\"data row0 col6\" >0.0292</td>\n",
" <td id=\"T_04d29_row0_col7\" class=\"data row0 col7\" >0.8587</td>\n",
" <td id=\"T_04d29_row0_col8\" class=\"data row0 col8\" >0.9600</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row1\" class=\"row_heading level0 row1\" >ets</th>\n",
" <td id=\"T_04d29_row1_col0\" class=\"data row1 col0\" >ETS</td>\n",
" <td id=\"T_04d29_row1_col1\" class=\"data row1 col1\" >0.4164</td>\n",
" <td id=\"T_04d29_row1_col2\" class=\"data row1 col2\" >0.4132</td>\n",
" <td id=\"T_04d29_row1_col3\" class=\"data row1 col3\" >12.2549</td>\n",
" <td id=\"T_04d29_row1_col4\" class=\"data row1 col4\" >13.7563</td>\n",
" <td id=\"T_04d29_row1_col5\" class=\"data row1 col5\" >0.0292</td>\n",
" <td id=\"T_04d29_row1_col6\" class=\"data row1 col6\" >0.0293</td>\n",
" <td id=\"T_04d29_row1_col7\" class=\"data row1 col7\" >0.8580</td>\n",
" <td id=\"T_04d29_row1_col8\" class=\"data row1 col8\" >0.1800</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row2\" class=\"row_heading level0 row2\" >arima</th>\n",
" <td id=\"T_04d29_row2_col0\" class=\"data row2 col0\" >ARIMA</td>\n",
" <td id=\"T_04d29_row2_col1\" class=\"data row2 col1\" >0.6574</td>\n",
" <td id=\"T_04d29_row2_col2\" class=\"data row2 col2\" >0.6391</td>\n",
" <td id=\"T_04d29_row2_col3\" class=\"data row2 col3\" >19.3161</td>\n",
" <td id=\"T_04d29_row2_col4\" class=\"data row2 col4\" >21.2072</td>\n",
" <td id=\"T_04d29_row2_col5\" class=\"data row2 col5\" >0.0475</td>\n",
" <td id=\"T_04d29_row2_col6\" class=\"data row2 col6\" >0.0474</td>\n",
" <td id=\"T_04d29_row2_col7\" class=\"data row2 col7\" >0.6719</td>\n",
" <td id=\"T_04d29_row2_col8\" class=\"data row2 col8\" >0.4433</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row3\" class=\"row_heading level0 row3\" >auto_arima</th>\n",
" <td id=\"T_04d29_row3_col0\" class=\"data row3 col0\" >Auto ARIMA</td>\n",
" <td id=\"T_04d29_row3_col1\" class=\"data row3 col1\" >0.6851</td>\n",
" <td id=\"T_04d29_row3_col2\" class=\"data row3 col2\" >0.6675</td>\n",
" <td id=\"T_04d29_row3_col3\" class=\"data row3 col3\" >20.1303</td>\n",
" <td id=\"T_04d29_row3_col4\" class=\"data row3 col4\" >22.1426</td>\n",
" <td id=\"T_04d29_row3_col5\" class=\"data row3 col5\" >0.0500</td>\n",
" <td id=\"T_04d29_row3_col6\" class=\"data row3 col6\" >0.0496</td>\n",
" <td id=\"T_04d29_row3_col7\" class=\"data row3 col7\" >0.6248</td>\n",
" <td id=\"T_04d29_row3_col8\" class=\"data row3 col8\" >24.6500</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row4\" class=\"row_heading level0 row4\" >knn_cds_dt</th>\n",
" <td id=\"T_04d29_row4_col0\" class=\"data row4 col0\" >K Neighbors w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row4_col1\" class=\"data row4 col1\" >0.7001</td>\n",
" <td id=\"T_04d29_row4_col2\" class=\"data row4 col2\" >0.7479</td>\n",
" <td id=\"T_04d29_row4_col3\" class=\"data row4 col3\" >20.5441</td>\n",
" <td id=\"T_04d29_row4_col4\" class=\"data row4 col4\" >24.7756</td>\n",
" <td id=\"T_04d29_row4_col5\" class=\"data row4 col5\" >0.0495</td>\n",
" <td id=\"T_04d29_row4_col6\" class=\"data row4 col6\" >0.0493</td>\n",
" <td id=\"T_04d29_row4_col7\" class=\"data row4 col7\" >0.5784</td>\n",
" <td id=\"T_04d29_row4_col8\" class=\"data row4 col8\" >0.5600</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row5\" class=\"row_heading level0 row5\" >lightgbm_cds_dt</th>\n",
" <td id=\"T_04d29_row5_col0\" class=\"data row5 col0\" >Light Gradient Boosting w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row5_col1\" class=\"data row5 col1\" >0.7822</td>\n",
" <td id=\"T_04d29_row5_col2\" class=\"data row5 col2\" >0.8444</td>\n",
" <td id=\"T_04d29_row5_col3\" class=\"data row5 col3\" >22.8961</td>\n",
" <td id=\"T_04d29_row5_col4\" class=\"data row5 col4\" >27.9207</td>\n",
" <td id=\"T_04d29_row5_col5\" class=\"data row5 col5\" >0.0532</td>\n",
" <td id=\"T_04d29_row5_col6\" class=\"data row5 col6\" >0.0541</td>\n",
" <td id=\"T_04d29_row5_col7\" class=\"data row5 col7\" >0.5620</td>\n",
" <td id=\"T_04d29_row5_col8\" class=\"data row5 col8\" >0.3300</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row6\" class=\"row_heading level0 row6\" >rf_cds_dt</th>\n",
" <td id=\"T_04d29_row6_col0\" class=\"data row6 col0\" >Random Forest w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row6_col1\" class=\"data row6 col1\" >0.8082</td>\n",
" <td id=\"T_04d29_row6_col2\" class=\"data row6 col2\" >0.8441</td>\n",
" <td id=\"T_04d29_row6_col3\" class=\"data row6 col3\" >23.6825</td>\n",
" <td id=\"T_04d29_row6_col4\" class=\"data row6 col4\" >27.9070</td>\n",
" <td id=\"T_04d29_row6_col5\" class=\"data row6 col5\" >0.0577</td>\n",
" <td id=\"T_04d29_row6_col6\" class=\"data row6 col6\" >0.0570</td>\n",
" <td id=\"T_04d29_row6_col7\" class=\"data row6 col7\" >0.4485</td>\n",
" <td id=\"T_04d29_row6_col8\" class=\"data row6 col8\" >0.7300</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row7\" class=\"row_heading level0 row7\" >et_cds_dt</th>\n",
" <td id=\"T_04d29_row7_col0\" class=\"data row7 col0\" >Extra Trees w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row7_col1\" class=\"data row7 col1\" >0.8400</td>\n",
" <td id=\"T_04d29_row7_col2\" class=\"data row7 col2\" >0.8780</td>\n",
" <td id=\"T_04d29_row7_col3\" class=\"data row7 col3\" >24.6476</td>\n",
" <td id=\"T_04d29_row7_col4\" class=\"data row7 col4\" >29.0741</td>\n",
" <td id=\"T_04d29_row7_col5\" class=\"data row7 col5\" >0.0599</td>\n",
" <td id=\"T_04d29_row7_col6\" class=\"data row7 col6\" >0.0594</td>\n",
" <td id=\"T_04d29_row7_col7\" class=\"data row7 col7\" >0.3952</td>\n",
" <td id=\"T_04d29_row7_col8\" class=\"data row7 col8\" >0.6900</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row8\" class=\"row_heading level0 row8\" >ada_cds_dt</th>\n",
" <td id=\"T_04d29_row8_col0\" class=\"data row8 col0\" >AdaBoost w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row8_col1\" class=\"data row8 col1\" >0.8538</td>\n",
" <td id=\"T_04d29_row8_col2\" class=\"data row8 col2\" >0.9234</td>\n",
" <td id=\"T_04d29_row8_col3\" class=\"data row8 col3\" >24.9932</td>\n",
" <td id=\"T_04d29_row8_col4\" class=\"data row8 col4\" >30.5154</td>\n",
" <td id=\"T_04d29_row8_col5\" class=\"data row8 col5\" >0.0594</td>\n",
" <td id=\"T_04d29_row8_col6\" class=\"data row8 col6\" >0.0593</td>\n",
" <td id=\"T_04d29_row8_col7\" class=\"data row8 col7\" >0.4036</td>\n",
" <td id=\"T_04d29_row8_col8\" class=\"data row8 col8\" >0.1633</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row9\" class=\"row_heading level0 row9\" >llar_cds_dt</th>\n",
" <td id=\"T_04d29_row9_col0\" class=\"data row9 col0\" >Lasso Least Angular Regressor w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row9_col1\" class=\"data row9 col1\" >0.9052</td>\n",
" <td id=\"T_04d29_row9_col2\" class=\"data row9 col2\" >0.9693</td>\n",
" <td id=\"T_04d29_row9_col3\" class=\"data row9 col3\" >26.3753</td>\n",
" <td id=\"T_04d29_row9_col4\" class=\"data row9 col4\" >31.9235</td>\n",
" <td id=\"T_04d29_row9_col5\" class=\"data row9 col5\" >0.0609</td>\n",
" <td id=\"T_04d29_row9_col6\" class=\"data row9 col6\" >0.0618</td>\n",
" <td id=\"T_04d29_row9_col7\" class=\"data row9 col7\" >0.4619</td>\n",
" <td id=\"T_04d29_row9_col8\" class=\"data row9 col8\" >0.0833</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row10\" class=\"row_heading level0 row10\" >lar_cds_dt</th>\n",
" <td id=\"T_04d29_row10_col0\" class=\"data row10 col0\" >Least Angular Regressor w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row10_col1\" class=\"data row10 col1\" >0.9215</td>\n",
" <td id=\"T_04d29_row10_col2\" class=\"data row10 col2\" >0.9878</td>\n",
" <td id=\"T_04d29_row10_col3\" class=\"data row10 col3\" >27.0827</td>\n",
" <td id=\"T_04d29_row10_col4\" class=\"data row10 col4\" >32.7861</td>\n",
" <td id=\"T_04d29_row10_col5\" class=\"data row10 col5\" >0.0661</td>\n",
" <td id=\"T_04d29_row10_col6\" class=\"data row10 col6\" >0.0662</td>\n",
" <td id=\"T_04d29_row10_col7\" class=\"data row10 col7\" >0.2007</td>\n",
" <td id=\"T_04d29_row10_col8\" class=\"data row10 col8\" >0.0900</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row11\" class=\"row_heading level0 row11\" >gbr_cds_dt</th>\n",
" <td id=\"T_04d29_row11_col0\" class=\"data row11 col0\" >Gradient Boosting w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row11_col1\" class=\"data row11 col1\" >0.9428</td>\n",
" <td id=\"T_04d29_row11_col2\" class=\"data row11 col2\" >0.9709</td>\n",
" <td id=\"T_04d29_row11_col3\" class=\"data row11 col3\" >27.5958</td>\n",
" <td id=\"T_04d29_row11_col4\" class=\"data row11 col4\" >32.0926</td>\n",
" <td id=\"T_04d29_row11_col5\" class=\"data row11 col5\" >0.0660</td>\n",
" <td id=\"T_04d29_row11_col6\" class=\"data row11 col6\" >0.0660</td>\n",
" <td id=\"T_04d29_row11_col7\" class=\"data row11 col7\" >0.3364</td>\n",
" <td id=\"T_04d29_row11_col8\" class=\"data row11 col8\" >0.1433</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row12\" class=\"row_heading level0 row12\" >br_cds_dt</th>\n",
" <td id=\"T_04d29_row12_col0\" class=\"data row12 col0\" >Bayesian Ridge w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row12_col1\" class=\"data row12 col1\" >0.9484</td>\n",
" <td id=\"T_04d29_row12_col2\" class=\"data row12 col2\" >0.9787</td>\n",
" <td id=\"T_04d29_row12_col3\" class=\"data row12 col3\" >27.8760</td>\n",
" <td id=\"T_04d29_row12_col4\" class=\"data row12 col4\" >32.4719</td>\n",
" <td id=\"T_04d29_row12_col5\" class=\"data row12 col5\" >0.0678</td>\n",
" <td id=\"T_04d29_row12_col6\" class=\"data row12 col6\" >0.0678</td>\n",
" <td id=\"T_04d29_row12_col7\" class=\"data row12 col7\" >0.2303</td>\n",
" <td id=\"T_04d29_row12_col8\" class=\"data row12 col8\" >0.1100</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row13\" class=\"row_heading level0 row13\" >lasso_cds_dt</th>\n",
" <td id=\"T_04d29_row13_col0\" class=\"data row13 col0\" >Lasso w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row13_col1\" class=\"data row13 col1\" >0.9509</td>\n",
" <td id=\"T_04d29_row13_col2\" class=\"data row13 col2\" >0.9847</td>\n",
" <td id=\"T_04d29_row13_col3\" class=\"data row13 col3\" >27.9608</td>\n",
" <td id=\"T_04d29_row13_col4\" class=\"data row13 col4\" >32.6786</td>\n",
" <td id=\"T_04d29_row13_col5\" class=\"data row13 col5\" >0.0681</td>\n",
" <td id=\"T_04d29_row13_col6\" class=\"data row13 col6\" >0.0681</td>\n",
" <td id=\"T_04d29_row13_col7\" class=\"data row13 col7\" >0.2076</td>\n",
" <td id=\"T_04d29_row13_col8\" class=\"data row13 col8\" >0.0833</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row14\" class=\"row_heading level0 row14\" >en_cds_dt</th>\n",
" <td id=\"T_04d29_row14_col0\" class=\"data row14 col0\" >Elastic Net w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row14_col1\" class=\"data row14 col1\" >0.9510</td>\n",
" <td id=\"T_04d29_row14_col2\" class=\"data row14 col2\" >0.9834</td>\n",
" <td id=\"T_04d29_row14_col3\" class=\"data row14 col3\" >27.9639</td>\n",
" <td id=\"T_04d29_row14_col4\" class=\"data row14 col4\" >32.6362</td>\n",
" <td id=\"T_04d29_row14_col5\" class=\"data row14 col5\" >0.0681</td>\n",
" <td id=\"T_04d29_row14_col6\" class=\"data row14 col6\" >0.0681</td>\n",
" <td id=\"T_04d29_row14_col7\" class=\"data row14 col7\" >0.2096</td>\n",
" <td id=\"T_04d29_row14_col8\" class=\"data row14 col8\" >0.0833</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row15\" class=\"row_heading level0 row15\" >lr_cds_dt</th>\n",
" <td id=\"T_04d29_row15_col0\" class=\"data row15 col0\" >Linear w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row15_col1\" class=\"data row15 col1\" >0.9514</td>\n",
" <td id=\"T_04d29_row15_col2\" class=\"data row15 col2\" >0.9826</td>\n",
" <td id=\"T_04d29_row15_col3\" class=\"data row15 col3\" >27.9791</td>\n",
" <td id=\"T_04d29_row15_col4\" class=\"data row15 col4\" >32.6089</td>\n",
" <td id=\"T_04d29_row15_col5\" class=\"data row15 col5\" >0.0682</td>\n",
" <td id=\"T_04d29_row15_col6\" class=\"data row15 col6\" >0.0682</td>\n",
" <td id=\"T_04d29_row15_col7\" class=\"data row15 col7\" >0.2099</td>\n",
" <td id=\"T_04d29_row15_col8\" class=\"data row15 col8\" >0.1267</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row16\" class=\"row_heading level0 row16\" >ridge_cds_dt</th>\n",
" <td id=\"T_04d29_row16_col0\" class=\"data row16 col0\" >Ridge w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row16_col1\" class=\"data row16 col1\" >0.9514</td>\n",
" <td id=\"T_04d29_row16_col2\" class=\"data row16 col2\" >0.9826</td>\n",
" <td id=\"T_04d29_row16_col3\" class=\"data row16 col3\" >27.9790</td>\n",
" <td id=\"T_04d29_row16_col4\" class=\"data row16 col4\" >32.6088</td>\n",
" <td id=\"T_04d29_row16_col5\" class=\"data row16 col5\" >0.0682</td>\n",
" <td id=\"T_04d29_row16_col6\" class=\"data row16 col6\" >0.0682</td>\n",
" <td id=\"T_04d29_row16_col7\" class=\"data row16 col7\" >0.2099</td>\n",
" <td id=\"T_04d29_row16_col8\" class=\"data row16 col8\" >0.0867</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row17\" class=\"row_heading level0 row17\" >dt_cds_dt</th>\n",
" <td id=\"T_04d29_row17_col0\" class=\"data row17 col0\" >Decision Tree w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row17_col1\" class=\"data row17 col1\" >0.9550</td>\n",
" <td id=\"T_04d29_row17_col2\" class=\"data row17 col2\" >1.0006</td>\n",
" <td id=\"T_04d29_row17_col3\" class=\"data row17 col3\" >28.0011</td>\n",
" <td id=\"T_04d29_row17_col4\" class=\"data row17 col4\" >33.0749</td>\n",
" <td id=\"T_04d29_row17_col5\" class=\"data row17 col5\" >0.0692</td>\n",
" <td id=\"T_04d29_row17_col6\" class=\"data row17 col6\" >0.0683</td>\n",
" <td id=\"T_04d29_row17_col7\" class=\"data row17 col7\" >0.2554</td>\n",
" <td id=\"T_04d29_row17_col8\" class=\"data row17 col8\" >0.0900</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row18\" class=\"row_heading level0 row18\" >huber_cds_dt</th>\n",
" <td id=\"T_04d29_row18_col0\" class=\"data row18 col0\" >Huber w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row18_col1\" class=\"data row18 col1\" >0.9801</td>\n",
" <td id=\"T_04d29_row18_col2\" class=\"data row18 col2\" >1.0094</td>\n",
" <td id=\"T_04d29_row18_col3\" class=\"data row18 col3\" >28.8930</td>\n",
" <td id=\"T_04d29_row18_col4\" class=\"data row18 col4\" >33.5355</td>\n",
" <td id=\"T_04d29_row18_col5\" class=\"data row18 col5\" >0.0713</td>\n",
" <td id=\"T_04d29_row18_col6\" class=\"data row18 col6\" >0.0710</td>\n",
" <td id=\"T_04d29_row18_col7\" class=\"data row18 col7\" >0.0939</td>\n",
" <td id=\"T_04d29_row18_col8\" class=\"data row18 col8\" >0.2233</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row19\" class=\"row_heading level0 row19\" >theta</th>\n",
" <td id=\"T_04d29_row19_col0\" class=\"data row19 col0\" >Theta Forecaster</td>\n",
" <td id=\"T_04d29_row19_col1\" class=\"data row19 col1\" >1.0386</td>\n",
" <td id=\"T_04d29_row19_col2\" class=\"data row19 col2\" >1.0138</td>\n",
" <td id=\"T_04d29_row19_col3\" class=\"data row19 col3\" >30.3420</td>\n",
" <td id=\"T_04d29_row19_col4\" class=\"data row19 col4\" >33.4638</td>\n",
" <td id=\"T_04d29_row19_col5\" class=\"data row19 col5\" >0.0731</td>\n",
" <td id=\"T_04d29_row19_col6\" class=\"data row19 col6\" >0.0724</td>\n",
" <td id=\"T_04d29_row19_col7\" class=\"data row19 col7\" >0.2681</td>\n",
" <td id=\"T_04d29_row19_col8\" class=\"data row19 col8\" >0.0633</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row20\" class=\"row_heading level0 row20\" >par_cds_dt</th>\n",
" <td id=\"T_04d29_row20_col0\" class=\"data row20 col0\" >Passive Aggressive w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row20_col1\" class=\"data row20 col1\" >1.2794</td>\n",
" <td id=\"T_04d29_row20_col2\" class=\"data row20 col2\" >1.4033</td>\n",
" <td id=\"T_04d29_row20_col3\" class=\"data row20 col3\" >37.5005</td>\n",
" <td id=\"T_04d29_row20_col4\" class=\"data row20 col4\" >46.4667</td>\n",
" <td id=\"T_04d29_row20_col5\" class=\"data row20 col5\" >0.0890</td>\n",
" <td id=\"T_04d29_row20_col6\" class=\"data row20 col6\" >0.0892</td>\n",
" <td id=\"T_04d29_row20_col7\" class=\"data row20 col7\" >-0.4193</td>\n",
" <td id=\"T_04d29_row20_col8\" class=\"data row20 col8\" >0.2233</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row21\" class=\"row_heading level0 row21\" >omp_cds_dt</th>\n",
" <td id=\"T_04d29_row21_col0\" class=\"data row21 col0\" >Orthogonal Matching Pursuit w/ Cond. Deseasonalize & Detrending</td>\n",
" <td id=\"T_04d29_row21_col1\" class=\"data row21 col1\" >1.3051</td>\n",
" <td id=\"T_04d29_row21_col2\" class=\"data row21 col2\" >1.3288</td>\n",
" <td id=\"T_04d29_row21_col3\" class=\"data row21 col3\" >38.1796</td>\n",
" <td id=\"T_04d29_row21_col4\" class=\"data row21 col4\" >43.8287</td>\n",
" <td id=\"T_04d29_row21_col5\" class=\"data row21 col5\" >0.0944</td>\n",
" <td id=\"T_04d29_row21_col6\" class=\"data row21 col6\" >0.0914</td>\n",
" <td id=\"T_04d29_row21_col7\" class=\"data row21 col7\" >-0.5052</td>\n",
" <td id=\"T_04d29_row21_col8\" class=\"data row21 col8\" >0.0833</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row22\" class=\"row_heading level0 row22\" >snaive</th>\n",
" <td id=\"T_04d29_row22_col0\" class=\"data row22 col0\" >Seasonal Naive Forecaster</td>\n",
" <td id=\"T_04d29_row22_col1\" class=\"data row22 col1\" >1.3367</td>\n",
" <td id=\"T_04d29_row22_col2\" class=\"data row22 col2\" >1.2703</td>\n",
" <td id=\"T_04d29_row22_col3\" class=\"data row22 col3\" >39.1429</td>\n",
" <td id=\"T_04d29_row22_col4\" class=\"data row22 col4\" >42.1532</td>\n",
" <td id=\"T_04d29_row22_col5\" class=\"data row22 col5\" >0.0916</td>\n",
" <td id=\"T_04d29_row22_col6\" class=\"data row22 col6\" >0.0974</td>\n",
" <td id=\"T_04d29_row22_col7\" class=\"data row22 col7\" >-0.1419</td>\n",
" <td id=\"T_04d29_row22_col8\" class=\"data row22 col8\" >0.0867</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row23\" class=\"row_heading level0 row23\" >polytrend</th>\n",
" <td id=\"T_04d29_row23_col0\" class=\"data row23 col0\" >Polynomial Trend Forecaster</td>\n",
" <td id=\"T_04d29_row23_col1\" class=\"data row23 col1\" >1.5770</td>\n",
" <td id=\"T_04d29_row23_col2\" class=\"data row23 col2\" >1.7389</td>\n",
" <td id=\"T_04d29_row23_col3\" class=\"data row23 col3\" >46.0326</td>\n",
" <td id=\"T_04d29_row23_col4\" class=\"data row23 col4\" >57.3245</td>\n",
" <td id=\"T_04d29_row23_col5\" class=\"data row23 col5\" >0.1102</td>\n",
" <td id=\"T_04d29_row23_col6\" class=\"data row23 col6\" >0.1098</td>\n",
" <td id=\"T_04d29_row23_col7\" class=\"data row23 col7\" >-0.8335</td>\n",
" <td id=\"T_04d29_row23_col8\" class=\"data row23 col8\" >0.0600</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row24\" class=\"row_heading level0 row24\" >croston</th>\n",
" <td id=\"T_04d29_row24_col0\" class=\"data row24 col0\" >Croston</td>\n",
" <td id=\"T_04d29_row24_col1\" class=\"data row24 col1\" >1.8411</td>\n",
" <td id=\"T_04d29_row24_col2\" class=\"data row24 col2\" >1.9190</td>\n",
" <td id=\"T_04d29_row24_col3\" class=\"data row24 col3\" >53.4712</td>\n",
" <td id=\"T_04d29_row24_col4\" class=\"data row24 col4\" >63.0904</td>\n",
" <td id=\"T_04d29_row24_col5\" class=\"data row24 col5\" >0.1227</td>\n",
" <td id=\"T_04d29_row24_col6\" class=\"data row24 col6\" >0.1289</td>\n",
" <td id=\"T_04d29_row24_col7\" class=\"data row24 col7\" >-1.0132</td>\n",
" <td id=\"T_04d29_row24_col8\" class=\"data row24 col8\" >0.0333</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row25\" class=\"row_heading level0 row25\" >naive</th>\n",
" <td id=\"T_04d29_row25_col0\" class=\"data row25 col0\" >Naive Forecaster</td>\n",
" <td id=\"T_04d29_row25_col1\" class=\"data row25 col1\" >2.7037</td>\n",
" <td id=\"T_04d29_row25_col2\" class=\"data row25 col2\" >2.7447</td>\n",
" <td id=\"T_04d29_row25_col3\" class=\"data row25 col3\" >79.2381</td>\n",
" <td id=\"T_04d29_row25_col4\" class=\"data row25 col4\" >90.6009</td>\n",
" <td id=\"T_04d29_row25_col5\" class=\"data row25 col5\" >0.2020</td>\n",
" <td id=\"T_04d29_row25_col6\" class=\"data row25 col6\" >0.1819</td>\n",
" <td id=\"T_04d29_row25_col7\" class=\"data row25 col7\" >-7.0125</td>\n",
" <td id=\"T_04d29_row25_col8\" class=\"data row25 col8\" >2.3567</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_04d29_level0_row26\" class=\"row_heading level0 row26\" >grand_means</th>\n",
" <td id=\"T_04d29_row26_col0\" class=\"data row26 col0\" >Grand Means Forecaster</td>\n",
" <td id=\"T_04d29_row26_col1\" class=\"data row26 col1\" >5.6161</td>\n",
" <td id=\"T_04d29_row26_col2\" class=\"data row26 col2\" >5.1320</td>\n",
" <td id=\"T_04d29_row26_col3\" class=\"data row26 col3\" >164.1678</td>\n",
" <td id=\"T_04d29_row26_col4\" class=\"data row26 col4\" >169.7381</td>\n",
" <td id=\"T_04d29_row26_col5\" class=\"data row26 col5\" >0.3836</td>\n",
" <td id=\"T_04d29_row26_col6\" class=\"data row26 col6\" >0.4813</td>\n",
" <td id=\"T_04d29_row26_col7\" class=\"data row26 col7\" >-15.1865</td>\n",
" <td id=\"T_04d29_row26_col8\" class=\"data row26 col8\" >0.0833</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
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"data": {
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"Processing: 0%| | 0/117 [00:00<?, ?it/s]"
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},
{
"cell_type": "code",
"source": [
"prediction = predict_model(best, fh=90)\n",
"prediction"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 424
},
"id": "irSLIDOCMI2I",
"outputId": "539700b1-ad54-492c-96d5-021bb6c8c348"
},
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" y_pred\n",
"1960-06 534.5573\n",
"1960-07 616.6787\n",
"1960-08 624.4069\n",
"1960-09 510.8446\n",
"1960-10 446.2305\n",
"... ...\n",
"1967-07 907.1695\n",
"1967-08 916.8979\n",
"1967-09 748.8126\n",
"1967-10 652.9528\n",
"1967-11 571.4941\n",
"\n",
"[90 rows x 1 columns]"
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" <th>1960-06</th>\n",
" <td>534.5573</td>\n",
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" <th>1960-07</th>\n",
" <td>616.6787</td>\n",
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" <th>1960-08</th>\n",
" <td>624.4069</td>\n",
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" <th>1960-09</th>\n",
" <td>510.8446</td>\n",
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" <th>1960-10</th>\n",
" <td>446.2305</td>\n",
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" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
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" <tr>\n",
" <th>1967-07</th>\n",
" <td>907.1695</td>\n",
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" <tr>\n",
" <th>1967-08</th>\n",
" <td>916.8979</td>\n",
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" <tr>\n",
" <th>1967-09</th>\n",
" <td>748.8126</td>\n",
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" <th>1967-10</th>\n",
" <td>652.9528</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1967-11</th>\n",
" <td>571.4941</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>90 rows × 1 columns</p>\n",
"</div>\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ed3eed91-c679-4ed4-8b68-3be25adbbee6')\"\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",
" 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-ed3eed91-c679-4ed4-8b68-3be25adbbee6 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-ed3eed91-c679-4ed4-8b68-3be25adbbee6');\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": 8
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "ovP1rQojMKd9"
},
"execution_count": null,
"outputs": []
}
]
}
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