Doc build

.github/workflows/docs.yml

@@ -8,6 +8,9 @@ on:
 jobs:
   build_docs:
     runs-on: ubuntu-latest
+    env:
+      GIT_COMMITTER_NAME: "Doc Build Bot"
+      GIT_COMMITTER_EMAIL: "[email protected]"
     steps:
       - name: Checkout code
         uses: actions/checkout@v2

README.md

@@ -18,24 +18,22 @@ TPOT recently went through a major refactoring. The package was rewritten from s
 
     Ribeiro, P. et al. (2024). TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning. In: Winkler, S., Trujillo, L., Ofria, C., Hu, T. (eds) Genetic Programming Theory and Practice XX. Genetic and Evolutionary Computation. Springer, Singapore. https://doi.org/10.1007/978-981-99-8413-8_1
 
-The current version of TPOT was developed at Cedars-Sinai by:
-    - Pedro Henrique Ribeiro (Lead developer - https://github.com/perib, https://www.linkedin.com/in/pedro-ribeiro/)
-    - Anil Saini ([email protected])
-    - Jose Hernandez ([email protected])
-    - Jay Moran ([email protected])
-    - Nicholas Matsumoto ([email protected])
-    - Hyunjun Choi ([email protected])
-    - Miguel E. Hernandez ([email protected])
-    - Jason Moore ([email protected])
-
-The original version of TPOT was primarily developed at the University of Pennsylvania by:
-    - Randal S. Olson ([email protected])
-    - Weixuan Fu ([email protected])
-    - Daniel Angell ([email protected])
-    - Jason Moore ([email protected])
-    - and many more generous open-source contributors
-
-
+The current version of TPOT was developed at Cedars-Sinai by:  
+    - Pedro Henrique Ribeiro (Lead developer - https://github.com/perib, https://www.linkedin.com/in/pedro-ribeiro/)  
+    - Anil Saini ([email protected])  
+    - Jose Hernandez ([email protected])  
+    - Jay Moran ([email protected])  
+    - Nicholas Matsumoto ([email protected])  
+    - Hyunjun Choi ([email protected])  
+    - Miguel E. Hernandez ([email protected])  
+    - Jason Moore ([email protected])  
+
+The original version of TPOT was primarily developed at the University of Pennsylvania by:  
+    - Randal S. Olson ([email protected])  
+    - Weixuan Fu ([email protected])  
+    - Daniel Angell ([email protected])  
+    - Jason Moore ([email protected])  
+    - and many more generous open-source contributors  
 
 ## License
 

tpot/tests/test_estimators.py

@@ -85,7 +85,6 @@ def tpot_estimator_with_pipeline(tpot_estimator,sample_dataset):
     tpot_estimator.fit(sample_dataset[0], sample_dataset[1])
     return tpot_estimator
 
-# @pytest.mark.skip(reason="Errors out, skipping to build docs")
 def test_tpot_estimator_predict(tpot_estimator_with_pipeline,sample_dataset):
     #X_test = [[1, 2, 3], [4, 5, 6]]
     X_test = sample_dataset[0]