diff --git a/docs/examples/hierarchical.ipynb b/docs/examples/hierarchical.ipynb index 5299c6f..8128077 100644 --- a/docs/examples/hierarchical.ipynb +++ b/docs/examples/hierarchical.ipynb @@ -31,7 +31,7 @@ "source": [ "# Import dataset\n", "\n", - "Here we use the tourism dataset with state-level aggregation." + "Here we use the tourism dataset with purpose-level aggregation." ] }, { @@ -207,39 +207,39 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 20000/20000 [00:01<00:00, 10156.26it/s, init loss: 83558.7188, avg. loss [19001-20000]: -139.7630]\n", - "100%|██████████| 20000/20000 [00:02<00:00, 9861.06it/s, init loss: 98843.2344, avg. loss [19001-20000]: -168.8535] \n", - "100%|██████████| 20000/20000 [00:01<00:00, 10501.69it/s, init loss: 86041.6875, avg. loss [19001-20000]: -113.1339]\n", - "100%|██████████| 20000/20000 [00:01<00:00, 10624.19it/s, init loss: 92701.1953, avg. loss [19001-20000]: -158.9508]\n", - "100%|██████████| 20000/20000 [00:01<00:00, 10352.16it/s, init loss: 93868.6641, avg. loss [19001-20000]: -178.3266]\n" + "100%|██████████| 50000/50000 [00:03<00:00, 12703.64it/s, init loss: 3644695.0000, avg. loss [47501-50000]: -145.5869] \n", + "100%|██████████| 50000/50000 [00:03<00:00, 12712.05it/s, init loss: 3470251.0000, avg. loss [47501-50000]: -171.3466] \n", + "100%|██████████| 50000/50000 [00:03<00:00, 12690.10it/s, init loss: 3770947.5000, avg. loss [47501-50000]: -121.3840] \n", + "100%|██████████| 50000/50000 [00:03<00:00, 12842.24it/s, init loss: 3592037.0000, avg. loss [47501-50000]: -166.6654] \n", + "100%|██████████| 50000/50000 [00:03<00:00, 13259.97it/s, init loss: 3547721.0000, avg. loss [47501-50000]: -181.9492] \n" ] }, { "data": { "text/html": [ - "
Prophet(capacity_prior_loc=1, capacity_prior_scale=0.5, changepoint_interval=8,\n",
+       "
Prophet(capacity_prior_loc=1, capacity_prior_scale=0.5, changepoint_interval=8,\n",
        "        changepoint_prior_scale=0.01, changepoint_range=-8,\n",
-       "        default_effect=<prophetverse.effects.LinearEffect object at 0x305671210>,\n",
        "        feature_transformer=FourierFeatures(fourier_terms_list=[10], freq='Q',\n",
        "                                            keep_original_columns=True,\n",
        "                                            sp_list=['Y']),\n",
-       "        optimizer_steps=20000, trend='logistic')
Please rerun this cell to show the HTML repr or trust the notebook.