Minor model comparison tutorial description update

Author: elseml

examples/Model_Comparison_MPT.ipynb

@@ -699,7 +699,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Our simple simulators are extremly fast, so we can use online training (simulating the data on the fly during training). Here, we use 5 epochs with 500 iterations each and a batch size of 64 simulations. This means that we use $10 \\times 500 \\times 64 = 320,000$ unique simulations in total for training our neural network. We can do this, because the simulators are trivial to implement and thus very efficient to run. Training should take a couple of seconds to complete."
+    "Our simple simulators are extremly fast, so we can use online training (simulating the data on the fly during training). Here, we use $10$ epochs with $500$ iterations each and a batch size of $64$ simulations. This means that we use $10 \\times 500 \\times 64 = 320,000$ unique simulations in total for training our neural network. We can do this because the simulators are trivial to implement and thus very efficient to run. Training should take a couple of seconds to complete."
    ]
   },
   {
@@ -937,7 +937,7 @@
    ],
    "source": [
     "# Way 1: Amortizer with dictionary input\n",
-    "amortizer.posterior_probs({\"summary_conditions\" : fake_data})[0]"
+    "amortizer.posterior_probs({\"summary_conditions\": fake_data})[0]"
    ]
   },
   {
@@ -1016,7 +1016,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.10.10"
   },
   "toc": {
    "base_numbering": 1,