Cleaning up model notebooks

Author: Anne Draelos

models/VJF.ipynb

@@ -564,9 +564,7 @@
     "                    y_tilde = mdl_copy.decoder(x).detach().cpu().numpy()\n",
     "                    # y_var didn't change\n",
     "\n",
-    "                    # cumulative sum on sample logprobs\n",
-    "                    new_sample_logprobs = [diagonal_normal_logpdf(y_, y_var, y_tprime.cpu().numpy()) for y_ in y_tilde]\n",
-    "                    sample_logprobs = [a + b for a, b in zip(sample_logprobs, new_sample_logprobs)]\n",
+    "                    sample_logprobs = [diagonal_normal_logpdf(y_, y_var, y_tprime.cpu().numpy()) for y_ in y_tilde]\n",
     "\n",
     "                    logprob = logsumexp(sample_logprobs) - np.log(S)\n",
     "                    trajectory_logprobs.append(logprob)\n",
@@ -785,7 +783,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -799,7 +797,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.5"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,