diff --git a/docs/notebooks.rst b/docs/notebooks.rst index f7da92f4..ae587d87 100644 --- a/docs/notebooks.rst +++ b/docs/notebooks.rst @@ -14,7 +14,7 @@ The first set of notebooks demonstrates the basic mechanics of OMLT and shows ho * `index_handling.ipynb `_ shows how to use `IndexMapper` to handle the mappings between indexes. -* `bo_with_trees.ipynb `_ incorporates gradient-boosted trees into a Bayesian optimization loop to optimize the Rosenbrock function. +* `bo_with_trees.ipynb `_ incorporates gradient-boosted trees into a Bayesian optimization loop to optimize the Rosenbrock function. * `linear_tree_formulations.ipynb `_ showcases the different linear model decision tree formulations available in OMLT. @@ -24,7 +24,7 @@ The second set of notebooks gives application-specific examples: * `mnist_example_convolutional.ipynb `_ trains a convolutional neural network on MNIST and uses OMLT to find adversarial examples. -* `graph_neural_network_formulation.ipynb `_ transforms graph neural networks into OMLT and builds formulation to solve optimization problems. +* `graph_neural_network_formulation.ipynb `_ transforms graph neural networks into OMLT and builds formulation to solve optimization problems. * `auto-thermal-reformer.ipynb `_ develops a neural network surrogate (using sigmoid activations) with data from a process model built using `IDAES-PSE `_.