├── .gitignore ├── 191218 - Algorithmic Impact Assessment - Évaluation de l'Incidence Algorithmique.pdf ├── CHAI Model - Explainable AI and Bias v2.pdf ├── CHAI Model - Privacy, Consent and Ethical AI Requirements.pdf ├── HIFIS_RNN_MLP - arXiv submission.pdf ├── LICENSE ├── README.md ├── azure ├── .amlignore ├── inference_pipeline.ipynb ├── inference_step │ └── inference_step.py ├── interpretability_step │ └── interpretability_step.py ├── preprocess_step │ └── preprocess_step.py ├── save_step │ └── save_step.py ├── train_pipeline.ipynb └── train_step │ └── train_step.py ├── config.yml ├── data ├── interpretability │ └── .gitkeep ├── processed │ └── .gitkeep ├── raw │ ├── .gitkeep │ └── HIFIS_Clients_example.csv └── transformers │ └── .gitkeep ├── documents ├── generated_images │ └── .gitkeep └── readme_images │ ├── HIFIS_MLP.png │ ├── HIFIS_RNN_MLP.png │ ├── LIME_example.PNG │ ├── cm_example.png │ ├── hifis_logo.png │ ├── horizon_experiment_example.png │ ├── hparam_example.png │ ├── london_logo.png │ ├── roc_example.png │ ├── tensorboard_loss.png │ └── workflow_summary.png ├── requirements.txt ├── results ├── experiments │ └── .gitkeep ├── logs │ ├── .gitkeep │ ├── hparam_search │ │ └── .gitkeep │ └── training │ │ └── .gitkeep ├── models │ └── .gitkeep └── predictions │ └── .gitkeep ├── retrieve_raw_data.ps1 ├── src ├── __init__.py ├── custom │ ├── __init__.py │ ├── losses.py │ └── metrics.py ├── data │ ├── __init__.py │ ├── preprocess.py │ ├── queries │ │ ├── SPDAT_export.sql │ │ └── client_export.sql │ └── spdat.py ├── horizon_search.py ├── interpretability │ ├── __init__.py │ ├── cluster.py │ ├── lime_base.py │ ├── lime_explain.py │ ├── lime_tabular.py │ └── submodular_pick.py ├── models │ ├── __init__.py │ └── models.py ├── predict.py ├── train.py └── visualization │ ├── __init__.py │ └── visualize.py └── tests ├── architecture.py └── hifis_rnn_mlp_test.yml /.gitignore: -------------------------------------------------------------------------------- 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