Fixed name of architecture notebook (#22)

havakv · Dec 19, 2019 · 37852b0 · 37852b0
1 parent b30832d
commit 37852b0
Show file tree

Hide file tree

Showing 5 changed files with 4 additions and 4 deletions.
diff --git a/README.md b/README.md
@@ -144,7 +144,7 @@ The following methods are available in the `pycox.methods` module.
         <td>
         A method representing a set of binary classifiers that remove individuals as they are censored <a href="#references">[15]</a>. The loss is the binary cross entropy of the survival estimates at a set of discrete times, with targets that are indicators of surviving each time.
         </td>
-        <td>
+        <td><a href="https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/administrative_brier_score.ipynb">bs_example</a>
         </td>
     </tr>
 </table>

diff --git a/examples/01_introduction.ipynb b/examples/01_introduction.ipynb
@@ -935,7 +935,7 @@
     "Or, alternatively take a look at\n",
     "\n",
     "- the more advanced training procedures in the notebook [02_introduction.ipynb](https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/02_introduction.ipynb).\n",
-    "- other network architectures that combine autoencoders and survival networks in the notebook [03_network_architectures.ipynb](https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/03_network_achitectures.ipynb).\n",
+    "- other network architectures that combine autoencoders and survival networks in the notebook [03_network_architectures.ipynb](https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/03_network_architectures.ipynb).\n",
     "- working with DataLoaders and convolutional networks in the notebook [04_mnist_dataloaders_cnn.ipynb](https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/04_mnist_dataloaders_cnn.ipynb)."
    ]
   },

diff --git a/examples/02_introduction.ipynb b/examples/02_introduction.ipynb
@@ -1242,7 +1242,7 @@
     "You can now look at other examples of survival methods in the [examples folder](https://nbviewer.jupyter.org/github/havakv/pycox/tree/master/examples).\n",
     "Or, alternatively take a look at\n",
     "\n",
-    "- other network architectures that combine autoencoders and survival networks in the notebook [03_network_architectures.ipynb](https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/03_network_achitectures.ipynb).\n",
+    "- other network architectures that combine autoencoders and survival networks in the notebook [03_network_architectures.ipynb](https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/03_network_architectures.ipynb).\n",
     "- working with DataLoaders and convolutional networks in the notebook [04_mnist_dataloaders_cnn.ipynb](https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/04_mnist_dataloaders_cnn.ipynb)."
    ]
   },

diff --git a/examples/03_network_achitectures.ipynb → examples/03_network_architectures.ipynb b/examples/03_network_achitectures.ipynb → examples/03_network_architectures.ipynb
diff --git a/examples/04_mnist_dataloaders_cnn.ipynb b/examples/04_mnist_dataloaders_cnn.ipynb
@@ -1049,7 +1049,7 @@
     "Or, alternatively take a look at\n",
     "\n",
     "- the more advanced training procedures in the notebook [02_introduction.ipynb](https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/02_introduction.ipynb).\n",
-    "- other network architectures that combine autoencoders and survival networks in the notebook [03_network_architectures.ipynb](https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/03_network_achitectures.ipynb)."
+    "- other network architectures that combine autoencoders and survival networks in the notebook [03_network_architectures.ipynb](https://nbviewer.jupyter.org/github/havakv/pycox/blob/master/examples/03_network_architectures.ipynb)."
    ]
   },
   {