├── .editorconfig ├── .gitattributes ├── .github ├── ISSUE_TEMPLATE │ ├── bug_report.md │ └── feature_request.md ├── PULL_REQUEST_TEMPLATE.md └── workflows │ ├── codeql-analysis.yml │ ├── linters.yml │ ├── metrics.yml │ ├── test-docs.yml │ ├── tests.yml │ └── website.yml ├── .gitignore ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── MANIFEST.in ├── README.md ├── SECURITY.md ├── codecov.yml ├── docs ├── CNAME ├── Makefile ├── README.md ├── make.bat ├── source │ ├── _static │ │ ├── css │ │ │ ├── bootstrap.css │ │ │ └── custom.css │ │ └── js │ │ │ └── scripts.js │ ├── _templates │ │ ├── index.html │ │ └── sidebar │ │ │ └── brand.html │ ├── code │ │ ├── components │ │ │ ├── base.rst │ │ │ ├── future_regressors │ │ │ │ └── index.rst │ │ │ ├── router.rst │ │ │ ├── seasonality │ │ │ │ └── index.rst │ │ │ └── trend │ │ │ │ └── index.rst │ │ ├── configure.rst │ │ ├── custom_loss_metrics.rst │ │ ├── data │ │ │ ├── process.rst │ │ │ ├── split.rst │ │ │ └── transform.rst │ │ ├── df_utils.rst │ │ ├── forecaster.rst │ │ ├── index.rst │ │ ├── logger.rst │ │ ├── np_types.rst │ │ ├── plot_forecast_matplotlib.rst │ │ ├── plot_forecast_plotly.rst │ │ ├── plot_model_parameters_matplotlib.rst │ │ ├── plot_model_parameters_plotly.rst │ │ ├── plot_utils.rst │ │ ├── time_dataset.rst │ │ ├── time_net.rst │ │ ├── torch_prophet.rst │ │ ├── uncertainty.rst │ │ ├── utils.rst │ │ ├── utils_metrics.rst │ │ └── utils_torch.rst │ ├── community │ │ └── contribute.md │ ├── conf.py │ ├── contents.rst │ ├── how-to-guides │ │ ├── application-examples │ │ │ ├── energy_hospital_load.ipynb │ │ │ ├── energy_solar_pv.ipynb │ │ │ └── energy_tool.ipynb │ │ ├── feature-guides │ │ │ ├── Live_plot_during_training.ipynb │ │ │ ├── Migration_from_Prophet.ipynb │ │ │ ├── collect_predictions.ipynb │ │ │ ├── conditional_seasonality_peyton.ipynb │ │ │ ├── figures │ │ │ │ ├── fig1_p.png │ │ │ │ └── fig2_p.png │ │ │ ├── global_local_modeling.ipynb │ │ │ ├── global_local_modeling_fut_regr.ipynb │ │ │ ├── global_local_trend.ipynb │ │ │ ├── hyperparameter-selection.md │ │ │ ├── mlflow.ipynb │ │ │ ├── network_architecture_visualization.ipynb │ │ │ ├── plotly.ipynb │ │ │ ├── prophet_to_torch_prophet.ipynb │ │ │ ├── season_multiplicative_air_travel.ipynb │ │ │ ├── sparse_autoregression_yosemite_temps.ipynb │ │ │ ├── sub_daily_data_yosemite_temps.ipynb │ │ │ ├── test_and_crossvalidate.ipynb │ │ │ └── uncertainty_quantification.ipynb │ │ └── index.rst │ ├── images │ │ ├── np_favicon.png │ │ ├── np_highres.svg │ │ ├── np_highres_docs.svg │ │ ├── plot_comp_ar_1.png │ │ ├── plot_comp_ar_2.png │ │ ├── plot_comp_events_1.png │ │ ├── plot_comp_events_2.png │ │ ├── plot_comp_events_3.png │ │ ├── plot_comp_future_reg_1.png │ │ ├── plot_comp_future_reg_2.png │ │ ├── plot_comp_lag_reg_1.png │ │ ├── plot_comp_seasonality_1.png │ │ ├── plot_comp_seasonality_2.png │ │ ├── plot_comp_simple_1.png │ │ ├── plot_comp_trend_1.png │ │ ├── plot_forecast_ar_1.png │ │ ├── plot_forecasts_simple_1.png │ │ ├── plot_param_ar_1.png │ │ ├── plot_param_events_1.png │ │ ├── plot_param_events_2.png │ │ ├── plot_param_events_3.png │ │ ├── plot_param_events_4.png │ │ ├── plot_param_future_reg_1.png │ │ ├── plot_param_future_reg_2.png │ │ ├── plot_param_lag_reg_1.png │ │ ├── plot_param_seasonality_1.png │ │ ├── plot_param_simple_1.png │ │ └── plot_param_trend_1.png │ ├── quickstart.ipynb │ ├── science-behind │ │ └── model-overview.md │ └── tutorials │ │ ├── index.rst │ │ ├── next-steps.md │ │ ├── tutorial01.ipynb │ │ ├── tutorial02.ipynb │ │ ├── tutorial03.ipynb │ │ ├── tutorial04.ipynb │ │ ├── tutorial05.ipynb │ │ ├── tutorial06.ipynb │ │ ├── tutorial07.ipynb │ │ ├── tutorial08.ipynb │ │ ├── tutorial09.ipynb │ │ └── tutorial10.ipynb └── zh │ ├── README.md │ ├── logo.png │ ├── 事件.md │ ├── 季节性.md │ ├── 快速开始.md │ ├── 未来回归项.md │ ├── 模型概述.md │ ├── 滞后回归项.md │ ├── 相较于prophet的改进.md │ ├── 自回归.md │ ├── 贡献.md │ ├── 超参数选取.md │ └── 趋势项.md ├── neuralprophet ├── __init__.py ├── __main__.py ├── _version.py ├── components │ ├── README.md │ ├── __init__.py │ ├── base.py │ ├── future_regressors │ │ ├── __init__.py │ │ ├── base.py │ │ ├── linear.py │ │ ├── neural_nets.py │ │ ├── shared_neural_nets.py │ │ └── shared_neural_nets_coef.py │ ├── router.py │ ├── seasonality │ │ ├── __init__.py │ │ ├── base.py │ │ └── fourier.py │ └── trend │ │ ├── __init__.py │ │ ├── base.py │ │ ├── linear.py │ │ ├── piecewise_linear.py │ │ └── static.py ├── configure.py ├── configure_components.py ├── custom_loss_metrics.py ├── data │ ├── process.py │ ├── split.py │ └── transform.py ├── df_utils.py ├── event_utils.py ├── forecaster.py ├── logger.py ├── np_types.py ├── plot_forecast_matplotlib.py ├── plot_forecast_plotly.py ├── plot_model_parameters_matplotlib.py ├── plot_model_parameters_plotly.py ├── plot_utils.py ├── time_dataset.py ├── time_net.py ├── torch_prophet.py ├── uncertainty.py ├── utils.py ├── utils_lightning.py ├── utils_metrics.py ├── utils_time_dataset.py └── utils_torch.py ├── notes ├── NeuralProphet_Facebook_Forecasting_Summit.pdf ├── NeuralProphet_Introduction.pdf └── development_timeline.md ├── poetry.lock ├── pyproject.toml ├── repro.np ├── scripts ├── install_hooks.bash ├── neuralprophet_dev_setup.py ├── pre_commit.bash └── pre_push.bash ├── setup.cfg └── tests ├── __init__.py ├── debug ├── debug-energy-price-daily.ipynb ├── debug-energy-price-hourly.ipynb ├── debug-yosemite.ipynb └── debug_glocal.py ├── metrics ├── .gitkeep └── compareMetrics.py ├── pytest.ini ├── test-data ├── air_passengers.csv ├── ercot_load.csv ├── tutorial01-full_kaggle_energy_hourly.csv ├── tutorial01_kaggle_energy_daily.csv ├── tutorial04_kaggle_energy_daily_temperature.csv ├── wp_log_peyton_manning.csv └── yosemite_temps.csv ├── test_cli.py ├── test_configure.py ├── test_event_utils.py ├── test_future_regressor_nn.py ├── test_glocal.py ├── test_integration.py ├── test_model_performance.py ├── test_plotting.py ├── test_regularization.py ├── test_save.py ├── test_train_config.py ├── 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