| \n", " | date | \n", "target_var | \n", "impressions_x1 | \n", "impressions_x2 | \n", "impressions_x3 | \n", "impressions_x4 | \n", "event_2020_09 | \n", "event_2020_12 | \n", "event_2021_09 | \n", "event_2021_12 | \n", "event_2022_09 | \n", "trend | \n", "
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", "2022-01-01 | \n", "0.4966 | \n", "0.1577 | \n", "0.1194 | \n", "0.2208 | \n", "0.1134 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0 | \n", "
| 1 | \n", "2022-01-02 | \n", "0.5341 | \n", "0.1394 | \n", "0.1169 | \n", "0.2263 | \n", "0.1157 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "1 | \n", "
| 2 | \n", "2022-01-03 | \n", "0.5659 | \n", "0.1712 | \n", "0.1177 | \n", "0.2268 | \n", "0.1240 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "2 | \n", "
| 3 | \n", "2022-01-04 | \n", "0.5761 | \n", "0.1175 | \n", "0.1163 | \n", "0.2247 | \n", "0.1221 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "3 | \n", "
| 4 | \n", "2022-01-05 | \n", "0.5679 | \n", "0.0927 | \n", "0.1177 | \n", "0.2209 | \n", "0.1156 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "4 | \n", "
<xarray.Dataset> Size: 28MB\n",
"Dimensions: (date: 879, sample: 2000)\n",
"Coordinates:\n",
" * date (date) datetime64[ns] 7kB 2022-01-01 ... 2024-05-28\n",
" * sample (sample) object 16kB MultiIndex\n",
" * chain (sample) int64 16kB 0 0 0 0 0 0 0 0 0 ... 3 3 3 3 3 3 3 3\n",
" * draw (sample) int64 16kB 0 1 2 3 4 5 ... 495 496 497 498 499\n",
"Data variables:\n",
" y (date, sample) float64 14MB 0.4614 0.4583 ... 0.8902\n",
" y_original_scale (date, sample) float64 14MB 0.4713 0.468 ... 0.9042 0.9092\n",
"Attributes:\n",
" created_at: 2025-10-20T19:41:07.906686+00:00\n",
" arviz_version: 0.22.0\n",
" inference_library: pymc\n",
" inference_library_version: 5.25.1<xarray.Dataset> Size: 28MB\n",
"Dimensions: (date: 879, sample: 2000)\n",
"Coordinates:\n",
" * date (date) datetime64[ns] 7kB 2022-01-01 ... 2024-05-28\n",
" * sample (sample) object 16kB MultiIndex\n",
" * chain (sample) int64 16kB 0 0 0 0 0 0 0 0 0 ... 3 3 3 3 3 3 3 3\n",
" * draw (sample) int64 16kB 0 1 2 3 4 5 ... 495 496 497 498 499\n",
"Data variables:\n",
" y (date, sample) float64 14MB 0.5017 0.4739 ... 0.91 0.8907\n",
" y_original_scale (date, sample) float64 14MB 0.5124 0.484 ... 0.9294 0.9097\n",
"Attributes:\n",
" created_at: 2025-10-20T19:41:33.952834+00:00\n",
" arviz_version: 0.22.0\n",
" inference_library: pymc\n",
" inference_library_version: 5.25.1<xarray.Dataset> Size: 28MB\n",
"Dimensions: (date: 879, sample: 2000)\n",
"Coordinates:\n",
" * date (date) datetime64[ns] 7kB 2022-01-01 ... 2024-05-28\n",
" * sample (sample) object 16kB MultiIndex\n",
" * chain (sample) int64 16kB 0 0 0 0 0 0 0 0 0 ... 3 3 3 3 3 3 3 3\n",
" * draw (sample) int64 16kB 0 1 2 3 4 5 ... 495 496 497 498 499\n",
"Data variables:\n",
" y (date, sample) float64 14MB -0.687 0.02444 ... -0.04506\n",
" y_original_scale (date, sample) float64 14MB -0.0305 0.001085 ... -0.002001\n",
"Attributes:\n",
" created_at: 2025-10-20T19:41:35.423441+00:00\n",
" arviz_version: 0.22.0\n",
" inference_library: pymc\n",
" inference_library_version: 5.25.1