minor change in release notes

docs/about/release-notes.md

@@ -9,12 +9,13 @@
 #### User's Support
 
 * **New discussion forum:** We started an online discussion forum ([shapeworks.discourse.group](shapeworks.discourse.group)). This forum is a place for ShapeWorks users to discuss how to customize shape modeling workflows for their own use cases, troubleshoot issues end-users facing when using ShapeWorks, keep track of suggestions to improve the software and documentation, and ensure awareness of the latest ShapeWorks tools within the research community. 
-<!--* **Interactive Jupyter notebooks:** We developed a set of Jupyter notebooks to interactively demonstrate the usage of ShapeWorks Python APIs. These notebooks enable users to explore their data before just throwing it all in a huge batch job. We also added notebooks that reflect the thought process to learn about shapeworks classes/functions. See [ShapeWorks in Python](http://sciinstitute.github.io/ShapeWorks/new/shapeworks-python) for more details. -->
 * **Tiny tests for use cases:** All use cases now have a tiny test that can be run using the `--tiny_test` option. When the tiny test is run, only the data necessary for the test is downloaded rather than all of the data.
 * **Running use cases on subsets:** All of the use cases (mesh or segmentation based) can now be run on a subset of the data using the `--use_subsample` option. Note that the entire dataset is downloaded in this case so that a subset that is representative of the entire dataset can be selected.
 * **Generating shape cohorts:** Example shape cohorts with analytic correspondences can now be generated using the ShapeWorks package `GenerateShapeCohort`. Currently, cohorts of parameterized ellipsoids or supershapes can be generated. Options are available to specify the degree to which the cohort is groomed (i.e., a cohort can be generated to be in alignment or misaligned in various ways). These cohorts can help with troubleshooting the shape modeling workflow.
 * **Notebook demonstrating cohort generation:** A [Jupyter notebook](http://sciinstitute.github.io/ShapeWorks/notebooks/tutorials/getting-started-with-shape-cohort-generation.ipynb) was added that demonstrates how to use GenerateShapeCohort.
 
+<!--* **Interactive Jupyter notebooks:** We developed a set of Jupyter notebooks to interactively demonstrate the usage of ShapeWorks Python APIs. These notebooks enable users to explore their data before just throwing it all in a huge batch job. We also added notebooks that reflect the thought process to learn about shapeworks classes/functions. See [ShapeWorks in Python](http://sciinstitute.github.io/ShapeWorks/new/shapeworks-python) for more details. -->
+
 
 #### ShapeWorks Back-end