Fix classification_privacy.ipynb

Fixed by calling `compute_dp_sgd_privacy_statement`.
tensorflow · Nov 2, 2023 · 052cefb · 052cefb
1 parent 39c8a8c
commit 052cefb
Showing 1 changed file with 5 additions and 4 deletions.
diff --git a/g3doc/tutorials/classification_privacy.ipynb b/g3doc/tutorials/classification_privacy.ipynb
@@ -417,11 +417,12 @@
       },
       "outputs": [],
       "source": [
-        "compute_dp_sgd_privacy.compute_dp_sgd_privacy(n=train_data.shape[0],\n",
+        "print(compute_dp_sgd_privacy.compute_dp_sgd_privacy_statement(\n",
+        "                                              number_of_examples=train_data.shape[0],\n",
         "                                              batch_size=batch_size,\n",
         "                                              noise_multiplier=noise_multiplier,\n",
-        "                                              epochs=epochs,\n",
-        "                                              delta=1e-5)"
+        "                                              num_epochs=epochs,\n",
+        "                                              delta=1e-5))"
       ]
     },
     {
@@ -430,7 +431,7 @@
         "id": "c-KyttEWFRDc"
       },
       "source": [
-        "The tool reports that for the hyperparameters chosen above, the trained model has an $\\epsilon$ value of 1.18."
+        "The tool reports that for the hyperparameters chosen above, the trained model has an $\\epsilon$ value of 3.426."
       ]
     },
     {