Fix/make options of find optimal retention obvious (#599)

open-spaced-repetition · Jan 27, 2024 · 1e76e72 · 1e76e72
1 parent 51f0b7b
commit 1e76e72
Showing 1 changed file with 9 additions and 3 deletions.
diff --git a/fsrs4anki_optimizer.ipynb b/fsrs4anki_optimizer.ipynb
@@ -5,9 +5,9 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "# FSRS4Anki v4.12.0 Optimizer\n",
+        "# FSRS4Anki v4.12.1 Optimizer\n",
         "\n",
-        "[![open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-spaced-repetition/fsrs4anki/blob/v4.12.0/fsrs4anki_optimizer.ipynb)\n",
+        "[![open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-spaced-repetition/fsrs4anki/blob/v4.12.1/fsrs4anki_optimizer.ipynb)\n",
         "\n",
         "↑ Click the above button to open the optimizer on Google Colab.\n",
         "\n",
@@ -738,7 +738,13 @@
         }
       ],
       "source": [
-        "figs = optimizer.find_optimal_retention()"
+        "figs = optimizer.find_optimal_retention(\n",
+        "    deck_size=10000, # number of cards to learn\n",
+        "    learn_span=365, # days to learn\n",
+        "    max_cost_perday=1800, # seconds to review and learn per day\n",
+        "    max_ivl=36500, # days\n",
+        "    loss_aversion=2.5, # forget cost is multiplied by this factor to simulate loss aversion\n",
+        ")"
       ]
     },
     {