1.0.0rc10

Changes from Beta 0.9.0 are also included.

Major Changes

• [Major] Dataloader: Just-In-Time tabularization by @ourownstory in #1529

Other Changes

• [Devops] speed up future-reg-nn tests by @ourownstory in #1596
• [Minor] Make tests deterministic by @MaiBe-ctrl in #1600
• [Minor] Improve Season glocal reg invalid parameter handling by @ourownstory in #1601

Full Changelog: 0.9.0...1.0.0rc10

Beta 0.9.0

Major Changes

• [DevOps] Upgrade to lightning 2.0 by @ourownstory in #1514

New Features

• [Minor] add subdivisions to holidays by @MaiBe-ctrl in #1584
• [Minor] Support io.bytes output by @MaiBe-ctrl in #1583

Fixes

• [Fix] fix bug #1580 by @MaiBe-ctrl in #1582
• [Fix] fix future regressor by @MaiBe-ctrl in #1585
• [Fix| Fix neural nets regressor shape by @MaiBe-ctrl in https://github.com//pull/1589
• [Fix] Raise Error if ar_reg is set an dn_lags is null by @MaiBe-ctrl in #1588
• [Fix] Fix frequency inference if NaT by @MaiBe-ctrl in #1590
• [Docs] fix typo in get_latest_forecast example by @SimonWittner in #1551

Other Changes

• [DevOps] Cleaning CI workflow files and dependencies by @ourownstory in #1547
• [DevOps] update poetry by @ourownstory in #1587
• [DevOps] Run black by @ourownstory in #1593
• [DevOps] bump version to 0.9.0 by @ourownstory in #1594

New Contributors

• @MaiBe-ctrl made their first contribution in #1582

Full Changelog: 0.8.0...0.9.0

1.0.0rc9

What's Changed

• [Major] Add support for Python 3.12, drop support for Python 3.8 by @ourownstory in #1544
• [Docs] update website to 1.0.0rc8 by @ourownstory in #1538
• [Devops] Upgrade dependencies to more recent range of dependencies by @ourownstory in #1543

Full Changelog: 1.0.0rc8...1.0.0rc9

Beta 0.8.0

Note: identical to 1.0.0rc9

Major Changes

• [Major] Glocal Modelling V2: Local-Global mixture models by @alfonsogarciadecorral in #1008
• [Major] Add support for Python 3.12, drop support for Python 3.8 by @ourownstory in #1544

Other Changes

• [Fix] Accessing None type config_refgressors by @ourownstory in #1536
• [Docs] update website to 1.0.0rc8 by @ourownstory in #1538
• [Devops] Upgrade dependencies to more recent range of dependencies by @ourownstory in #1543

Full Changelog: 0.7.0...0.8.0

1.0.0rc8

What's Changed

• [Fix] Accessing None type config_refgressors (introduced by #1008) by @ourownstory in #1536

Full Changelog: 1.0.0rc7...1.0.0rc8

1.0.0rc7

What's Changed

• [Major] Glocal Modelling v2 by @alfonsogarciadecorral in #1008

Full Changelog: 0.7.0...1.0.0rc7

1.0.0rc6

Major changes

• [Major] Throw RuntimeError when trying to fit model second time (Fixes #1493) by @ourownstory in #1531
• [Major] reduce batch size for small datasets, reduce overall epochs for most datasets by @ourownstory in #1533

Fixes

• [Fix] loading model on machine with different accelerator by @McOffsky in #1509
• [Fix] Plot_parameter - Yearly Seasonality by @SimonWittner in #1501

Documentation

• [Docs] Fix MLFlow Sphinx test error by @ourownstory in #1508
• [Docs] MLflow tutorial by @SimonWittner in #1494
• [Docs] Adding experiment to MLflow_and_NeuralProphet.ipynb by @cargecla1 in #1499

Dependencies and tests

• [Devops] Bump jinja2 from 3.1.2 to 3.1.3 by @dependabot in #1506
• [Devops] Upgrade to Pandas 2.0.0 by @SimonWittner in #1498
• [Devops] Upgrade to torch >=2.0.0 by @ourownstory in #1512
• [Devops] Support python 3.11 by @ourownstory in #1513
• [Devops] Upgrade tests to Python 3.11 and remove windows by @ourownstory in #1515
• [Devops] Poetry Dev dependencies update by @ourownstory in #1530

New Contributors

• @McOffsky made their first contribution in #1509
• @cargecla1 made their first contribution in #1499

Full Changelog: 1.0.0rc5...1.0.0rc6

Beta 0.7.0

Note: Identical to 1.0.0rc6

About

This is the first non-pre-release of a large set of changes destined for 1.0.0. We decided to do a regular beta release, as there should be no breaking changes and the main branch has been without major issues for a few months. This release contains many fixes and improvements compared to 0.6.x.

Major changes

Introduced in 1.0.0rc1:

• [major] speed up nested additive model by @LeonieFreisinger in #1311
• [major] Drop Python 3.7 support and complete poetry migration by @noxan in #1271

Introduced in 1.0.0rc3:

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

Introduced in 1.0.0rc4:

• [major] Upgrade to PyTorch 2 by @noxan in #1404

Introduced in 1.0.0rc5:

• [major] Training: increase default batch size by @ourownstory in #1462
• [major] Training: update 1cycle lr to 3phase by @ourownstory in #1450
• [major] Training: SmoothL1Loss update beta from 1.0 to 0.3 by @ourownstory in #1461

Introduced in 1.0.0rc6:

• [Major] Throw RuntimeError when trying to fit model second time (Fixes #1493) by @ourownstory in #1531
• [Major] reduce batch size for small datasets, reduce overall epochs for most datasets by @ourownstory in #1533

Everything that has changed since 0.6.0

• [major] Drop Python 3.7 support and complete poetry migration by @noxan in #1271
• [docs] Revamp of feature guides by @leoniewgnr in #1301
• [website] Fix the deployment of the website with poetry by @noxan in #1307
• Uncertainty quantification tutorial by @christymctse in #1225
• [minor] Add static plotly backend by @hxyue1 in #1286
• [docs] Update documentation website by @leoniewgnr in #1309
• [minor] Update dependencies to latest versions by @noxan in #1305
• [docs] added reproducibility to tutorial 10 by @leoniewgnr in #1310
• [minor] Unify version number handling, remove setup.py and migrate content by @noxan in #1316
• [refactor] Uncertainty streamline naming by @leoniewgnr in #1262
• [major] speed up nested additive model by @LeonieFreisinger in #1311
• bump version number to 1.0.0rc1 by @leoniewgnr in #1319
• [fix] Downgrade kaleido version to 0.2.1 to fix installs by @noxan in #1320
• bump version number to 1.0.0rc2 by @leoniewgnr in #1321
• Bump flask from 2.3.1 to 2.3.2 by @dependabot in #1318
• [docs] fix showing of plots in tutorials and feature guides by @leoniewgnr in #1322
• update selective forecasting tests by @ourownstory in #1312
• [devops] Remove macos and windows from Github actions by @noxan in #1325
• [docs] prettify application examples by @leoniewgnr in #1328
• [devops] Add ruff github action by @noxan in #1324
• [refactor] Ruff fixes by @noxan in #1327
• [docs] Fix prophet tutorial by @leoniewgnr in #1332
• [docs] update prophet tutorials by @leoniewgnr in #1334
• Remove type conversion for _stride_lagged_features and _stride_future… by @hxyue1 in #1331
• Bump requests from 2.30.0 to 2.31.0 by @dependabot in #1337
• [docs] Clear plotting tutorial by @leoniewgnr in #1343
• (Fix) pytorch_lightning<2.0.0 callbacks named ProgressBarBase instead of ProgressBar by @JSarsfield in #1344
• [minor] fixed prediction_frequency when quantiles are set by @leoniewgnr in #1347
• [minor] fix sum of components by @leoniewgnr in #1349
• fix tutorials link in readme by @ShreyaKhurana in #1353
• [major] Speed up split_df by vectorizing for loops by @leoniewgnr in #1356
• [docs] ar layers fixed in uncertainty tutorial by @leoniewgnr in #1364
• Fixes failing tests by @leoniewgnr in #1381
• [docs] Small fixes in documentation by @leoniewgnr in #1380
• [docs] New feature guide with industry application and tool by @leoniewgnr in #1369
• [bug] Fix pyright and flake8 warnings by @leoniewgnr in #1392
• Update poetry dependencies by @noxan in #1390
• [bug] Trend plotting when using numpy 1.24 by @leoniewgnr in #1395
• bump version number to 1.0.0rc3 by @leoniewgnr in #1396
• [bug] Fix correct definition of torchmetrics inside pytorch lightning module by @leoniewgnr in #1365
• [minor] Memory optimized stride function by @leoniewgnr in #1400
• [minor] Speed up dataloader by @leoniewgnr in #1360
• [minor] Memory efficient float32 types instead of float64 types by @leoniewgnr in #1402
• [bug] fixed ruff warnings by @leoniewgnr in #1408
• [minor] Add a verbose option to NeuralProphet.test by @c3-ziqin in #1407
• [fix] Remove wrong plotting warning by @Maisa-bs in #1411
• [major] Upgrade to PyTorch 2 by @noxan in #1404
• Bump tornado from 6.3.2 to 6.3.3 by @dependabot in #1412
• Add the trainer back to the forecaster after saving model to file by @c3-ziqin in #1416
• [fix] Tutorials on Colab Crash by @SimonWittner in #1418
• bump version number to 1.0.0rc4 by @leoniewgnr in #1424
• [docs] Removed incorrect comments. by @thekoc in #1421
• [fix] Reduce saved model size by @leoniewgnr in #1425
• [fix] Correct holiday test and update version by @leoniewgnr in #1431
• [docs] typo in README.md by @eltociear in #1436
• [fix] Pytest for fix ValueError when plotting events components by @SimonWittner in #1434
• [minor] Helperfunction to support equidistant data without datestamps by @SimonWittner in #1432
• [devops] bump version-number to 1.0.0rc5 by @ourownstory in #1440
• [devops] Update poetry lock to most recent dependencies by @ourownstory in #1439
• [devops] Dev dependencies groups restructure by @ourownstory in #1442
• [docs] Update CONTRIBUTING.md Poetry dev install by @ourownstory in #1357
• [devops] bump-pandas-stubs-2 by @ourownstory in #1441
• [Devops] group dev dependencies and update lock by @ourownstory in #1448
• [Devops] Skip windows python 3.8 tests in ci.yml by @ourownstory in #1449
• [fix] Pytests Plots by @SimonWittner in #1445
• [tests] Model tests expansion (partially undone in #1464) by @ourownstory in #1455
• [Devops] Bump urllib3 from 2.0.6 to 2.0.7 by @dependabot in #1452
• [Devops] update metrics ci with new tests by @ourownstory in #1457
• [Devops] Relax dependency ranges to next major number by @ourownstory in https...

1.0.0rc5

What's Changed

Breaking

(None)

Major

• [major] Training: increase default batch size by @ourownstory in #1462
• [major] Training: update 1cycle lr to 3phase by @ourownstory in #1450
• [major] Training: SmoothL1Loss update beta from 1.0 to 0.3 by @ourownstory in #1461

Minor

• [minor] Helperfunction to support equidistant data without datestamps by @SimonWittner in #1432
• [minor] Torch Load by @SimonWittner in #1473

Bugs

• [fix] Reduce saved model size by @leoniewgnr in #1425
• [fix] Correct holiday test and update version by @leoniewgnr in #1431
• [fix] Pytest for fix ValueError when plotting events components by @SimonWittner in #1434
• [fix] Pytests Plots by @SimonWittner in #1445

Documentation

• [docs] Removed incorrect comments. by @thekoc in #1421
• [docs] typo in README.md by @eltociear in #1436
• [docs] Update CONTRIBUTING.md Poetry dev install by @ourownstory in #1357
• [Docs] fix-tutorial-data-descript daily not hourly by @ourownstory in #1453
• [docs] SmoothL1Loss correctly mentioned instead of Huber by @ourownstory in #1458
• [docs] README.md typos by @VinayKokate22 in #1472
• [docs] fix typos by @Mayureshd-18 in #1470
• [docs] Update README.md by @harshhere905 in #1467
• [docs] update lagged regressor tutorial by @ourownstory in #1463
• [docs] added full_stops by @bhargavshirin in #1465
• [docs] Added contributors section to README.md by @Kalyanimhala in #1474
• [docs] fix typo in df_utils.py by @eltociear in #1478

Tests

• [tests] Model tests expansion (partially undone in #1464) by @ourownstory in #1455
• [tests] add new test and remove 3 duplicate tests by @ourownstory in #1464

Dev Ops

• [devops] bump version-number to 1.0.0rc5 by @ourownstory in #1440
• [devops] Update poetry lock to most recent dependencies by @ourownstory in #1439
• [devops] Dev dependencies groups restructure by @ourownstory in #1442
• [devops] bump-pandas-stubs-2 by @ourownstory in #1441
• [Devops] group dev dependencies and update lock by @ourownstory in #1448
• [Devops] Skip windows python 3.8 tests in ci.yml by @ourownstory in #1449
• [Devops] Bump urllib3 from 2.0.6 to 2.0.7 by @dependabot in #1452
• [Devops] update metrics ci with new tests by @ourownstory in #1457
• [Devops] Relax dependency ranges to next major number by @ourownstory in #1459
• [devops] Bump werkzeug from 3.0.0 to 3.0.1 by @dependabot in #1468
• [devops] Bump aiohttp from 3.8.6 to 3.9.0 by @dependabot in #1484

New Contributors

• @thekoc made their first contribution in #1421
• @eltociear made their first contribution in #1436
• @VinayKokate22 made their first contribution in #1472
• @Mayureshd-18 made their first contribution in #1470
• @harshhere905 made their first contribution in #1467
• @bhargavshirin made their first contribution in #1465
• @Kalyanimhala made their first contribution in #1474

Full Changelog: 1.0.0rc4...1.0.0rc5

1.0.0rc4

What's Changed

Major changes

• [major] Upgrade to PyTorch 2 by @noxan in #1404

Minor changes

• [minor] Memory optimized stride function by @leoniewgnr in #1400
• [minor] Speed up dataloader by @leoniewgnr in #1360
• [minor] Memory efficient float32 types instead of float64 types by @leoniewgnr in #1402
• [minor] Add a verbose option to NeuralProphet.test by @c3-ziqin in #1407

Bugs fixed

• [bug] Fix correct definition of torchmetrics inside pytorch lightning module by @leoniewgnr in #1365
• [bug] fixed ruff warnings by @leoniewgnr in #1408
• [fix] Remove wrong plotting warning by @Maisa-bs in #1411
• Add the trainer back to the forecaster after saving model to file by @c3-ziqin in #1416
• [fix] Tutorials on Colab Crash by @SimonWittner in #1418

New Contributors

• @c3-ziqin made their first contribution in #1407
• @Maisa-bs made their first contribution in #1411
• @SimonWittner made their first contribution in #1418

Full Changelog: 1.0.0rc3...1.0.0rc4