SIR example: minor cleaning

Author: paul-buerkner

examples/SIR_PosteriorEstimation.ipynb

@@ -567,7 +567,7 @@
    "id": "c2feeb0c",
    "metadata": {},
    "source": [
-    "We are not ready to train. If nto provided, the default settings use $100$ epochs with a batch size of $32$ are used."
+    "We are now ready to train. If not provided, the default settings use $100$ epochs with a batch size of $32$."
    ]
   },
   {
@@ -1076,8 +1076,8 @@
     "# Our real-data loader returns the time series as a 1D array\n",
     "obs_cases = load_data()\n",
     "\n",
-    "# Note that we transform the 1D array into shape (1, T, 1), indicating one time series\n",
-    "samples = workflow.sample(conditions={\"cases\": obs_cases[None, :, None]}, num_samples=num_samples)\n",
+    "# Note that we transform the 1D array into shape (1, T), indicating one time series\n",
+    "samples = workflow.sample(conditions={\"cases\": obs_cases[None, :]}, num_samples=num_samples)\n",
     "\n",
     "# Convert into a nice format 2D data frame\n",
     "samples = workflow.samples_to_data_frame(samples)\n",