Releases · sktime/pytorch-forecasting

Release list

v1.8.0 Latest

Latest

phoeenniixx released this 24 Jun 16:42

v1.8.0

4d8d97c

What's Changed

Release focusing on:

A new shared documentation for v1 and v2.0-beta - see our documentation new here
Bugfixes

New Contributors

@vvvvvivekkk made their first contribution in #2249
@Muhammad-Rebaal made their first contribution in #2252
@Gitanaskhan26 made their first contribution in #2202
@haoyu-haoyu made their first contribution in #2257
@RUPESH-KUMAR01 made their first contribution in #2055
@andersendsa made their first contribution in #2276
@harshsomankar123-tech made their first contribution in #2275
@IgnazioDS made their first contribution in #2236
@Ajeem-git made their first contribution in #2243
@archietyagi100-tech made their first contribution in #2239

All contributors

@Ajeem-git, @andersendsa, @archietyagi100-tech, @cngmid, @dependabot[bot], @fnhirwa, @Gitanaskhan26, @haoyu-haoyu, @harshsomankar123-tech, @IgnazioDS, @Muhammad-Rebaal, @phoeenniixx, @RUPESH-KUMAR01, @StrikerEureka34, @vvvvvivekkk

Full Changelog: v1.7.0...v1.8.0

Contributors

dependabot, cngmid, and 13 other contributors

Assets 2

v1.7.0

phoeenniixx released this 05 Apr 12:18

v1.7.0

7e63c2a

What's Changed

Version release focusing on:

pandas 3 compatibility
bugfixes
Documentation migration to numpy documentation style.

See full changelog

New Contributors

@Ds0uz4 made their first contribution in #2028
@lucifer4073 made their first contribution in #2036
@Soham-47 made their first contribution in #2048
@vinitjain2005 made their first contribution in #2112
@Meet-Ramjiyani-10 made their first contribution in #2118
@AyushDineshRathi made their first contribution in #2116
@amruth6002 made their first contribution in #2115
@Gyanam1310 made their first contribution in #2104
@Skvmqq made their first contribution in #2121
@Siddhazntx made their first contribution in #2097
@PalakB09 made their first contribution in #2080
@QuantumByte-01 made their first contribution in #2174
@echo-xiao made their first contribution in #2180
@Quant-Code-Hacker made their first contribution in #2199
@StrikerEureka34 made their first contribution in #2205
@sohamjadhav95 made their first contribution in #2198

All Contributors

@amruth6002,
@AyushDineshRathi,
@dependabot[bot],
@Ds0uz4,
@echo-xiao,
@fkiraly,
@Gyanam1310,
@lucifer4073,
@Meet-Ramjiyani-10,
@PalakB09,
@phoeenniixx,
@Quant-Code-Hacker,
@QuantumByte-01,
@Siddhazntx,
@Skvmqq,
@Soham-47,
@sohamjadhav95,
@StrikerEureka34,
@vinitjain2005

Full Changelog: v1.6.1...v1.7.0

Contributors

fkiraly, dependabot, and 17 other contributors

Assets 2

v1.6.1

phoeenniixx released this 23 Jan 17:20

v1.6.1

2d62a1e

What's Changed

Patch release focusing on:

Bug fix to solve the persisting bug of passing weights_only in load_from_checkpoint for lightning <2.6.
Bug fix to non-writeable encoder issue caused by pandas copy-on-write behavior.

See full changelog

All Contributors

@cngmid, @phoeenniixx

Full Changelog: v1.6.0...v1.6.1

Contributors

cngmid and phoeenniixx

Assets 2

v1.6.0

phoeenniixx released this 16 Jan 09:28

v1.6.0

de325a9

What's Changed

Release focusing on:

python 3.14 support
Solving the unpickling error in weight loading
Deduplicating utilities with scikit-base
Addition of new predict interface for Beta v2
Improvements to model backends

API Changes

Tuner import change due to a Lightning breaking change. Lightning v2.6 introduced a breaking change in its checkpoint loading behavior, which caused unpickling errors during weight loading in pytorch-forecasting (see #2000).
To address this, pytorch-forecasting now provides its own Tuner wrapper that exposes the required weights_only argument when calling lr_find().
- When using pytorch-forecasting > 1.5.0 with lightning > 2.5, please use pytorch_forecasting.tuning.Tuner in place of lightning.pytorch.tuner.Tuner. See #2000 for details.

See full changelog

New Contributors

@anasashb made their first contribution in #1997
@ahmedkansulum made their first contribution in #2009
@khenm made their first contribution in #2012

All Contributors

@agobbifbk, @ahmedkansulum, @anasashb, @dependabot[bot], @fkiraly, @khenm, @phoeenniixx, @PranavBhatP, @szepeviktor

Full Changelog: v1.5.0...v1.6.0

Contributors

szepeviktor, fkiraly, and 7 other contributors

Assets 2

v1.5.0

phoeenniixx released this 10 Oct 13:27

v1.5.0

d4596de

What's Changed

Release focusing on:

python 3.9 end-of-life
changes to testing framework.
New estimators in pytorch-forecasting v1 and beta v2.

See full changelog

New Contributors

@Vishnu-Rangiah made their first contribution in #1905
@Pinaka07 made their first contribution in #1914
@hubkrieb made their first contribution in #1910
@Himanshu-Verma-ds made their first contribution in #1488
@lohraspco made their first contribution in #1926
@zju-ys made their first contribution in #1924
@caph1993 made their first contribution in #1944
@szepeviktor made their first contribution in #1948
@sanskarmodi8 made their first contribution in #1978

All Contributors

@agobbifbk,
@caph1993,
@cngmid,
@fkiraly,
@fnhirwa,
@Himanshu-Verma-ds,
@hubkrieb,
@jdb78,
@lohraspco,
@phoeenniixx,
@Pinaka07,
@PranavBhatP,
@sanskarmodi8,
@Sohaib-Ahmed21,
@szepeviktor
@Vishnu-Rangiah,
@zju-ys

Full Changelog: v1.4.0...v1.5.0

Contributors

szepeviktor, caph1993, and 15 other contributors

Assets 2

v1.4.0

fkiraly released this 13 Jun 20:43

v1.4.0

1fc5542

What's Changed

Feature and maintenance update.

See full changelog

New Contributors

@gbilleyPeco made their first contribution in #1750
@pietsjoh made their first contribution in #1399
@MartinoMensio made their first contribution in #1579
@phoeenniixx made their first contribution in #1811
@cngmid made their first contribution in #1827
@Marcrb2 made their first contribution in #1518
@jobs-git made their first contribution in #1864

All Contributors

@agobbifbk,
@Borda,
@cngmid,
@fkiraly,
@fnhirwa,
@gbilleyPeco,
@jobs-git,
@Marcrb2,
@MartinoMensio,
@phoeenniixx,
@pietsjoh,
@PranavBhatP

Full Changelog: v1.3.0...v1.4.0

Contributors

Borda, fkiraly, and 10 other contributors

Assets 2

v1.3.0

fkiraly released this 06 Feb 17:46

v1.3.0

15df813

What's Changed

Feature and maintenance update.

python 3.13 support
tide model
bugfixes for TFT

See full changelog

New Contributors

@xiaokongkong made their first contribution in #1719
@madprogramer made their first contribution in #1720
@julian-fong made their first contribution in #1705
@Sohaib-Ahmed21 made their first contribution in #1734
@d-schmitt made their first contribution in #1580
@Luke-Chesley made their first contribution in #1516
@PranavBhatP made their first contribution in #1762

All Contributors

@d-schmitt,
@fkiraly,
@fnhirwa,
@julian-fong,
@Luke-Chesley,
@madprogramer,
@PranavBhatP,
@Sohaib-Ahmed21,
@xiaokongkong,
@XinyuWuu

Full Changelog: v1.2.0...v1.3.0

Contributors

madprogramer, fkiraly, and 8 other contributors

Assets 2

v1.2.0

fkiraly released this 19 Nov 16:39

v1.2.0

d57b0bb

What's Changed

Maintenance update, minor feature additions and bugfixes.

support for numpy 2.X
end of life for python 3.8
fixed documentation build
bugfixes

See full changelog

New Contributors

@ewth made their first contribution in #1696
@airookie17 made their first contribution in #1692
@benHeid made their first contribution in #1704
@eugenio-mercuriali made their first contribution in #1699

All Contributors

@airookie17,
@benHeid,
@eugenio-mercuriali,
@ewth,
@fkiraly,
@fnhirwa,
@XinyuWuu,
@yarnabrina

Full Changelog: v1.1.1...v1.2.0

Contributors

fkiraly, benHeid, and 6 other contributors

Assets 2

v1.1.1

fkiraly released this 09 Sep 09:08

v1.1.1

b497a6b

What's Changed

Hotfix release to correct typo in package name in pyproject.toml, to correct pytorch-forecasting PEP 440 identifier.

Otherwise identical with 1.1.0

Full Changelog: v1.1.0...v1.1.0

Assets 2

v1.1.0

fkiraly released this 08 Sep 18:54

v1.1.0

ff1a7bd

What's Changed

Maintenance update widening compatibility ranges and consolidating dependencies:

support for python 3.11 and 3.12, added CI testing
support for MacOS, added CI testing
core dependencies have been minimized to numpy, torch, lightning, scipy, pandas, and scikit-learn.
soft dependencies are available in soft dependency sets: all_extras for all soft dependencies, and tuning for optuna based optimization.

Dependency changes

the following are no longer core dependencies and have been changed to optional dependencies : optuna, statsmodels, pytorch-optimize, matplotlib. Environments relying on functionality requiring these dependencies need to be updated to install these explicitly.
optuna bounds have been updated to optuna >=3.1.0,<4.0.0
optuna-integrate is now an additional soft dependency, in case of optuna >=3.3.0

Deprecations and removals

from 1.2.0, the default optimizer will be changed from "ranger" to "adam" to avoid non-torch dependencies in defaults. pytorch-optimize optimizers can still be used. Users should set the optimizer explicitly to continue using "ranger".
from 1.1.0, the loggers do not log figures if soft dependency matplotlib is not present, but will raise no exceptions in this case. To log figures, ensure that matplotlib is installed.