From 3abae439071fa165e57f32fb513299e3668c401d Mon Sep 17 00:00:00 2001 From: Roland Stevenson Date: Fri, 8 Dec 2023 11:48:18 +0100 Subject: [PATCH] reorder examples from intro to advanced --- docs/examples.rst | 33 ++++++++++++++++++--------------- 1 file changed, 18 insertions(+), 15 deletions(-) diff --git a/docs/examples.rst b/docs/examples.rst index 1f7d1463..e7a3617b 100644 --- a/docs/examples.rst +++ b/docs/examples.rst @@ -3,26 +3,29 @@ Examples Working example notebooks are available in the `example folder `_. +Follow the below links for an approximate ordering of example tutorials from introductory to advanced features. + .. toctree:: :maxdepth: 1 - examples/benchmark_simulation_studies - examples/binary_policy_learner_example - examples/causal_trees_interpretation - examples/causal_trees_with_synthetic_data - examples/cevae_example - examples/counterfactual_unit_selection - examples/counterfactual_value_optimization - examples/dr_learner_with_synthetic_data - examples/dragonnet_example - examples/feature_interpretations_example - examples/feature_selection - examples/iv_nlsym_synthetic_data examples/meta_learners_with_synthetic_data + examples/uplift_trees_with_synthetic_data examples/meta_learners_with_synthetic_data_multiple_treatment - examples/necessity_sufficiency_example - examples/sensitivity_example_with_synthetic_data examples/uplift_tree_visualization - examples/uplift_trees_with_synthetic_data + examples/feature_interpretations_example examples/validation_with_tmle + examples/dragonnet_example + examples/iv_nlsym_synthetic_data + examples/sensitivity_example_with_synthetic_data + examples/counterfactual_unit_selection + examples/counterfactual_value_optimization + examples/feature_selection + examples/binary_policy_learner_example + examples/cevae_example + examples/dr_learner_with_synthetic_data + examples/benchmark_simulation_studies + examples/necessity_sufficiency_example + examples/causal_trees_with_synthetic_data + examples/causal_trees_interpretation examples/logistic_regression_based_data_generation_for_uplift_classification +