1.0.0rc3

What's Changed

Major

• [major] Speed up split_df by vectorizing for loops by @leoniewgnr in #1356

Minor

• update selective forecasting tests by @ourownstory in #1312
• [devops] Remove macos and windows from Github actions by @noxan in #1325
• [devops] Add ruff github action by @noxan in #1324
• [refactor] Ruff fixes by @noxan in #1327
• Remove type conversion for _stride_lagged_features and _stride_future… by @hxyue1 in #1331
• [minor] fixed prediction_frequency when quantiles are set by @leoniewgnr in #1347
• Update poetry dependencies by @noxan in #1390
• [minor] fix sum of components by @leoniewgnr in #1349

Bug fixes

• [bug] Fix pyright and flake8 warnings by @leoniewgnr in #1392
• [bug] Trend plotting when using numpy 1.24 by @leoniewgnr in #1395
• (Fix) pytorch_lightning<2.0.0 callbacks named ProgressBarBase instead of ProgressBar by @JSarsfield in #1344
• Fixes failing tests by @leoniewgnr in #1381

Docs

• [docs] fix showing of plots in tutorials and feature guides by @leoniewgnr in #1322
• [docs] prettify application examples by @leoniewgnr in #1328
• [docs] Fix prophet tutorial by @leoniewgnr in #1332
• [docs] update prophet tutorials by @leoniewgnr in #1334
• [docs] Clear plotting tutorial by @leoniewgnr in #1343
• fix tutorials link in readme by @ShreyaKhurana in #1353
• [docs] ar layers fixed in uncertainty tutorial by @leoniewgnr in #1364
• [docs] Small fixes in documentation by @leoniewgnr in #1380
• [docs] New feature guide with industry application and tool by @leoniewgnr in #1369

New Contributors

• @ShreyaKhurana made their first contribution in #1353

Full Changelog: 1.0.0rc2...1.0.0rc3

Beta 0.6.2

What's Changed

• fixed assert error by @leoniewgnr in #1354
• fixed component computation by @leoniewgnr in #1350

1.0.0rc2

What's Changed

• [fix] Downgrade kaleido version to 0.2.1 to fix installs by @noxan in #1320

Full Changelog: 1.0.0rc1...1.0.0rc2

1.0.0rc1

What's Changed

Features

• [major] speed up nested additive model by @LeonieFreisinger in #1311
• [major] Drop Python 3.7 support and complete poetry migration by @noxan in #1271
• [minor] Add static plotly backend by @hxyue1 in #1286
• [minor] Update dependencies to latest versions by @noxan in #1305
• [minor] Unify version number handling, remove setup.py and migrate content by @noxan in #1316

Docs

• [docs] Revamp of feature guides by @leoniewgnr in #1301
• [website] Fix the deployment of the website with poetry by @noxan in #1307
• [docs] Uncertainty quantification tutorial by @christymctse in #1225
• [docs] Update documentation website by @leoniewgnr in #1309
• [docs] added reproducibility to tutorial 10 by @leoniewgnr in #1310

Refactor

• [refactor] Uncertainty streamline naming by @leoniewgnr in #1262

New Contributors

• @hxyue1 made their first contribution in #1286

Full Changelog: 0.6.0...1.0.0rc1

Beta 0.6.0

What's Changed

• [major] Nested Additive Model by @karl-richter in #1216
• [major] Allow user to set prediction frequency as a dict: {freq: forecast origin} by @judussoari in #1187
• [major] lagged regressor with interaction modeling (shared NN) by @karl-richter in #903
• [feature] Support for asymmetrical interval in conformal quantile regression by @leoniewgnr in #1215
• [minor] Allow lagged regressors with only unique values for global modeling by @judussoari in #1267
• [minor] Dependency management with poetry by @noxan in #1202
• [minor] Allow lagged regressors with only unique values for global modeling by @judussoari in #1256
• [minor] Repeat static trend component n_forecasts times instead of only once by @judussoari in #1254
• [minor] add docstring examples by @LeonieFreisinger in #1295
• [minor] Address warnings by @leoniewgnr in #1276
• [minor] lighten forecaster step 2 - encapsulate _get_maybe_extend_periods and _maybe_extend_df by @LeonieFreisinger in #1278
• [minor] Update dependencies to latest versions by @noxan in #1280

Fixes

• [fix] Calculate major frequency percentage properly by @noxan in #1264
• [fix] Matplotlib and plotly plot showing aligned by @leoniewgnr in #1266
• [fix] Remove regressor config if all regressors are removed due to unique values by @judussoari in #1272
• [fix] Unregister plotly resampler directly after usage by @LeonieFreisinger in #1277
• [fix] Raise Exception again to avoid UnboundLocalError by @noxan in #1282
• [fix] Remove SmoothL1Loss from Tutorial by @judussoari in #1298
• [fix] Raise ValueError when df contains not enough rows by @judussoari in #1300

Tests

• [tests] Remove unneeded logs by @karl-richter in #1207

Documentation

• [docs] outdated labels in contributing.md by @leoniewgnr in #1242
• [docs] Create new tutorials content by @noxan in #1183
• [docs] add note on flexible multiplicativity from prophet by @noxan in #1268
• [docs] Add next steps to tutorials by @noxan in #1274
• [docs] Improve conformal prediction tutorial by adding marginal before coverage by @noxan in #1284

Website

• [website] Fix website deployment by @noxan in #1273

Refactors

• [refactor] Removed plotting in test_uncertainty.py. by @Kevin-Chen0 in #1246
• [refactor] Changed int() to round() for q_hat_idx in uncertainty.py. by @Kevin-Chen0 in #1248
• [refactor] Lighten forecaster.py by @LeonieFreisinger in #1255
• [refactor] Encapsulate _make_future_dataframe and _check_dataframe by @LeonieFreisinger in #1279
• [refactor] Encapsulate _validate_column_name by @LeonieFreisinger in #1289
• [refactor] Encapsulate _normalize by @LeonieFreisinger in #1287
• [refactor] Encapsulate _handle_missing_data and _handle_missing_data_single_id by @LeonieFreisinger in #1288
• [refactor] Encapsulate _prepare_dataframe_to_predict by @LeonieFreisinger in #1290
• [refactor] Encapsulate _convert_raw_predictions_to_raw_df by @LeonieFreisinger in #1291
• [refactor] Encapsulate _reshape_raw_predictions_to_forecst_df by @LeonieFreisinger in #1293

Full Changelog: 0.5.3...0.6.0

Beta 0.5.4

What's Changed

Documentation

• [docs] Create new tutorials content by @noxan in #1183
• [docs] outdated labels in contributing.md by @leoniewgnr in #1242

Refactors

• [refactor] Removed plotting in test_uncertainty.py. by @Kevin-Chen0 in #1246
• [refactor] Changed int() to round() for q_hat_idx in uncertainty.py. by @Kevin-Chen0 in #1248

Tests

• [tests] Remove unneeded logs by @karl-richter in #1207

Full Changelog: 0.5.3...0.5.4

Beta 0.5.3

What's Changed

Bugfixes

• [fix] Limit broken dependency versions (mainly pytorch < 2.0) by @noxan in #1221

Minor features

• [minor] Adjust seasonality reg to modularized code by @judussoari in #1203

Documentation

• [docs] Style fixes in tutorial notebooks when dark mode is active by @leoniewgnr in #1199
• [typing] Add typing for user facing functions by @noxan in #1193

Under the hood changes

• [refactor] Move evaluate method outside of Conformal class and rename it as conformal_evaluate by @Kevin-Chen0 in #1210
• [refactor] Renamed conformal.py to uncertainty.py and conformal_evalute() to uncertainty_evaluate(). by @Kevin-Chen0 in #1213
• [refactor] Modified n_forecasts in _infer_evaluate_params_from_dataset() method in conformal.py by @Kevin-Chen0 in #1212
• [refactor] Add quantile regression (QR) as an uncertainty evalution metric in uncertainty.py by @Kevin-Chen0 in #1214

Full Changelog: 0.5.2...0.5.3

Beta 0.5.2

What's changed

[breaking] Breaking changes

• Change default plotting backend to plotly-resample by @LeonieFreisinger in #1149

[major] Major features

• Trend modularization by @karl-richter in #1078
• Seasonality modularization by @karl-richter in #1141
• Future regressors modularization by @alfonsogarciadecorral in #1144

[minor] Minor changes

• Allow unique values for future regressor of one time series in global modeling by @judussoari in #1146
• Added ability to pass custom callbacks while adhering to callback con… by @JSarsfield in #1122
• [minor] Add get function for parameters by @noxan in #1175
• Improve usability for conditional seasonality by @judussoari in #1116
• [Feature] Enable own NN configuration for lagged regressors by @judussoari in #1154
• [Minor] Convert timezones to UTC by default by @christymctse in #1085
• Typing improvements by @noxan in #1121
• Typing conformal prediction by @noxan in #1124
• [refactor] create dict for events or regressors by @noxan in #1123
• [refactor] Extract holiday getter helper to single function by @noxan in #1072
• black edited utils.py by @ourownstory in #1160
• Uncertainty: Conformal Prediction V1.2 - move conformal evaluation performance metrics inside of Conformal class in conformal.py by @Kevin-Chen0 in #1155
• [refactor] incorporate typing for time_net.py by @Kevin-Chen0 in #1105
• [refactor] Update python-holidays integration by @arkid15r in #1176

[fix] Bugfixes

• Fix ipython version for plotly-resampler by @LeonieFreisinger in #1119
• Deactivate plotly resampler for static image export by @karl-richter in #1114
• Lightning version by @karl-richter in #1145
• Avoidance of duplicate code in regularisation by @leoniewgnr in #1110

[docs] Documentation

• Created narratives and simplified code for quantile regression tutorial material by @christymctse in #1091
• Update CONTRIBUTING.md by @noxan in #1169
• [fix] default value of n_changepoints given correctly in the docs by @leoniewgnr in #1128
• [docs] Readme library purpose by @leoniewgnr in #1140

[tests] Tests

• [tests] Added info logs to regularisation tests by @leoniewgnr in #1148

[devops] Github workflows

• Fixed pyright error raised from unbound list by @judussoari in #1156

New Contributors

• @JSarsfield made their first contribution in #1122
• @arkid15r made their first contribution in #1176

Full Changelog: 0.5.1...0.5.2

Beta 0.5.1

New / major improvements

• Introduce conditional seasonality by @judussoari in #1067
• add plotly resampler by @LeonieFreisinger in #1083
• Uncertainty: Conformal Prediction V1.1 - extend to multiple forecast steps by @Kevin-Chen0 in #1073

Breaking changes

• Progress bar in minimal mode is default instead of deactivated by @karl-richter in #1059

List of all changes

• Uncertainty: Conformal Prediction V1.1 - add Conformal class to conformal_prediction.py and rename file to conformal.py by @Kevin-Chen0 in #1074
• [Fix] Fixed error in plot loss by @karl-richter in #1064
• Restict numpy version to <1.24.0 by @karl-richter in #1080
• remove default settings (None for calibration df and 0.1 for alpha) by @christymctse in #1079
• [Bug-fix] Enable test_plot_conformal_prediction with auto-regression on plot_latest_forecast by @judussoari in #1096
• [refactor] incorporate typing for Conformal class and conformal_predict method by @Kevin-Chen0 in #1104
• [Bug-fix] Enable holidays when using global/glocal modeling by @judussoari in #1100
• [Bug-fix] Refactor warning about global normalization to forecaster.py by @judussoari in #1109

New Contributor

• @christymctse made their first contribution in #1079

Full Changelog: 0.5.0...0.5.1

Beta 0.5.0

New / major improvements

• Lightning Migration by @karl-richter in #837
• GPU support by @karl-richter in #961
• Support plotting of only specific panels in plot_parameters and plot_components by @LeonieFreisinger in #884
• Uncertainty: Conformal Prediction V1 with .conformal_predict() by @Kevin-Chen0 in #802 and #1044
• Support for holidays of multiple countries by @leoniewgnr in #1001
• Deep model parameter interpretation by @karl-richter in #883
• Add type annotations for main NeuralProphet class by @noxan in #981

Breaking changes

• Remove support for df dict as an input by @judussoari in #929
• Change plotting_backend deprecation warning for implicit and explicit matplotlib use by @LeonieFreisinger in #1006
• Refactored fit() interface by @karl-richter in #1039
• Remove residuals in forecast dataframe returned by m.predict() by @judussoari in #927

List of all changes

• [lightning] Remove rich progress bar by @karl-richter in #952
• Improvement/type annotations by @noxan in #954
• Commented out test_progress_display in test_integration.py. by @Kevin-Chen0 in #956
• Added plot param of the NeuralProphet fit() and uncomment test_progress_display in test_integration.py. by @Kevin-Chen0 in #958
• [lightning] refactored Trainer args by @karl-richter in #959
• refactored test failure by @karl-richter in #960
• Add alias function plot_last_forecast() for plot_latest_forecast() and give deprecation warning by @judussoari in #919
• Mask seasonality on Sat/Sun when data frequency is Business days by @judussoari in #808
• [bug] Forecast output dataframe contains all float dtypes instead of having some objects by @Kevin-Chen0 in #978
• Fix labels of yhatx and origin-x in plots by @judussoari in #942
• Improve github action speed for docs test by @noxan in #936
• Resolved discontinuous trend when changepoints are not sorted chronologically by @leoniewgnr in #968
• Address small tech debt to use a conditional instead of try/except for Python 3.7 support by @kapoor1992 in #934
• [dev-ops] Collapsible metrics reports by @noxan in #926
• Cleanup document files by @noxan in #975
• Rename plot_forecast.py and plot_model_parameters.py to xxx_matplotli… by @SaumyaBhushan in #971
• [naming] Renamed tutorial notebooks by @karl-richter in #921
• Labels in CONTRIBUTING.md by @karl-richter in #946
• [enhancement] add pytests for matplotlib by @LeonieFreisinger in #914
• [devops] Improve codecov threshold by @noxan in #980
• [devops] Upgrade GitHub action versions by @noxan in #979
• change deprecation message to switch plotting backend to plotly by @LeonieFreisinger in #984
• [feature] Plot components of averaged df (and quants) if multiple IDs, but no df_name specified in plot_components() by @judussoari in #888
• [devops] Code coverage threshold fix by @noxan in #990
• Time in model training benchmark by @karl-richter in #995
• Unified the naming of variables - num and nb by @SaumyaBhushan in #994
• [tests] Add tests for configure by @noxan in #983
• [cleanup] Remove unused from_kwargs config function by @noxan in #988
• [devops] Add shell script to setup basic development environment by @noxan in #986
• [lightning] Speed-up by @karl-richter in #973
• Update progress bar only every epoch by @karl-richter in #1003
• [typing] Resolve type annotation issues in configure file by @noxan in #987
• [typing] Add ConfigEvents type annotations by @noxan in #989
• [refactor] Extract plot utils into dedicated file by @LeonieFreisinger in #1000
• [website] Fix typo in preview of website description by @noxan in #1012
• Move tensors to correct device by @karl-richter in #1010
• [docs] New tutorials section for docs by @noxan in #976
• Meta name bool by @alfonsogarciadecorral in #997
• [feature] Add a main script to print neuralprophet version by @noxan in #974
• [dev-ops] Type annotation validation GitHub action by @noxan in #902
• Add pull request template for Github by @karl-richter in #915
• [typing] fix typings and constructor super call for pinnball loss by @noxan in #1019
• Follow-up tensors on wrong device by @karl-richter in #1023
• Fix string Interpolation by @poweroftrue in #1026
• Fix label links in contributing guidelines by @noxan in #1024
• [bugfix] enable events while predicting into known future by @judussoari in #1029
• [fix] Replace all deprecated plot_last_forecast with plot_latest_forecast by @noxan in #1022
• [refactor] Rename config_seasonality and add typings by @noxan in #1021
• [refactor] Remove duplicate season reg lambda by @noxan in #1020
• [fix] Renamed remaining self.config_season variables to self.config_seasonality in time_net.py by @Kevin-Chen0 in #1035
• Removed commented tests in test_uncertainty.py. by @Kevin-Chen0 in #1032
• [refactor] Rename uncertainty_estimation.ipynb to uncertainty_quantile_regression.ipynb by @Kevin-Chen0 in #1034
• Normalize training speed metric by @karl-richter in #1041
• Improved system performance tracker by @karl-richter in #1042
• Update metrics.yml by @karl-richter in #1043
• [devops] Cleanup and limit CodeQL Github action to main branch by @noxan in #1031
• [docs] Tuturials use prepared dataset by @noxan in #1037
• Refactored dataloader by @karl-richter in #1040
• Normalize training time metric by @karl-richter in #1045
• Removed unnecessary if statement in predict_season_from_dates by @judussoari in #1049

New Contributors

• @leoniewgnr made their first contribution in #968
• @SaumyaBhushan made their first contribution in #971
• @poweroftrue made their first contribution in #1026

Full Changelog: 0.4.2...0.5.0