\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", "0.4913 | \n", "0.1565 | \n", "0.1147 | \n", "0.2182 | \n", "0.1097 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0 | \n", "
1 | \n", "2022-01-02 | \n", "0.5267 | \n", "0.1377 | \n", "0.1133 | \n", "0.2227 | \n", "0.1104 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "1 | \n", "
2 | \n", "2022-01-03 | \n", "0.5603 | \n", "0.1656 | \n", "0.1138 | \n", "0.2233 | \n", "0.1205 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "2 | \n", "
3 | \n", "2022-01-04 | \n", "0.5715 | \n", "0.1097 | \n", "0.1127 | \n", "0.2207 | \n", "0.1192 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "0.0 | \n", "3 | \n", "
4 | \n", "2022-01-05 | \n", "0.5635 | \n", "0.0863 | \n", "0.1137 | \n", "0.2191 | \n", "0.1127 | \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 0.4799 0.4574 ... 0.8827\n", " y_original_scale (date, sample) float64 14MB 0.4886 0.4657 ... 0.8988\n", "Attributes:\n", " created_at: 2025-10-03T13:34:22.288004+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 0.4706 0.478 ... 0.8469 0.8098\n", " y_original_scale (date, sample) float64 14MB 0.4792 0.4867 ... 0.8245\n", "Attributes:\n", " created_at: 2025-10-03T13:34:50.773217+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 0.4962 0.5039 ... 0.882 0.8674\n", " y_original_scale (date, sample) float64 14MB 0.5052 0.513 ... 0.8981 0.8832\n", "Attributes:\n", " created_at: 2025-10-03T13:35:08.720562+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 0.2204 0.1342 ... -0.08171\n", " y_original_scale (date, sample) float64 14MB 0.009457 ... -0.003505\n", "Attributes:\n", " created_at: 2025-10-03T13:35:10.598036+00:00\n", " arviz_version: 0.22.0\n", " inference_library: pymc\n", " inference_library_version: 5.25.1