From b2877ffd7568849dfbc6747a9f994e1f1ed94f79 Mon Sep 17 00:00:00 2001
From: Jamey McDowell <jameypmcdowell@gmail.com>
Date: Fri, 5 Mar 2021 11:07:22 -0600
Subject: [PATCH] Update index.html

the dask examples binder link has changed to point to the 'main' branch rather than the 'master' branch
---
 docs/using/index.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/using/index.html b/docs/using/index.html
index 35348646..e278e8b9 100644
--- a/docs/using/index.html
+++ b/docs/using/index.html
@@ -719,7 +719,7 @@ <h2 id="crashfreeze-issue-with-n_jobs-1-under-osx-or-linux">Crash/freeze issue w
 <p>More information about these start methods can be found in the <a href="https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods">multiprocessing documentation</a>.</p>
 <h2 id="parallel-training-with-dask">Parallel Training with Dask</h2>
 <p>For large problems or working on Jupyter notebook, we highly recommend that you can distribute the work on a <a href="http://dask.pydata.org/en/latest/">Dask</a> cluster.
-The <a href="https://mybinder.org/v2/gh/dask/dask-examples/master?filepath=machine-learning%2Ftpot.ipynb">dask-examples binder</a> has a runnable example
+The <a href="https://mybinder.org/v2/gh/dask/dask-examples/main?filepath=machine-learning%2Ftpot.ipynb">dask-examples binder</a> has a runnable example
 with a small dask cluster.</p>
 <p>To use your Dask cluster to fit a TPOT model, specify the <code>use_dask</code> keyword when you create the TPOT estimator. <strong>Note: if <code>use_dask=True</code>, TPOT will use as many cores as available on the your Dask cluster. If <code>n_jobs</code> is specified, then it will control the chunk size (10*<code>n_jobs</code> if it is less then offspring size) of parallel training.</strong></p>
 <pre><code class="language-python">estimator = TPOTEstimator(use_dask=True, n_jobs=-1)