Neuralforecast

New Features

- [FEAT]: Support providing DataLoader arguments to optimize GPU usage jasminerienecker (1186)
- [FEAT]: Set activation function in GRN of TFT marcopeix (1175)
- [FEAT]: Conformal Predictions in NeuralForecast JQGoh (1171)

Bug Fixes

- [FIX]: Ability load models saved using versions before 1.7 tylernisonoff (1207)
- [FIX]: Conformal prediction issues elephaint (1179)
- [FIX]: Feature importance when using only hist_exog in TFT fails elephaint (1174)
- [FIX]: Remove unused output layer NBEATSx elephaint (1168)
- [FIX]: Fix Tweedie loss elephaint (1164)
- [FIX]: MLPMultivariate incorrect static_exog parsing elephaint (1170)
- [FIX]: Deprecate activation functions for GRU marcopeix (1198)

Documentation

- [DOC]: Tutorial on cross-validation marcopeix (1176)
- [DOC]: Build docs on release only elephaint (1183)

New Features
- [FEAT]: Move RevIN class to common module JQGoh (1083)
- [FEAT]: Add RMoK marcopeix (1148)
- FEAT: TimeLLM is faster and supports more LLMs ive2go (1139)
- [FEAT]: TFT-Interpretability amirouyanis (1104)
- [FEAT]: ]Add support for the local file dataloader with the Automodels jasminerienecker (1095)

Bug Fixes
- [FIX] CV Refit works with non-standard column names elephaint (1149)
- [FIX]: replace self.pred_len with self.h carusyte (1129)
- [FIX]: only define static encoder when applicable in TFT jmoralez (1114)
- [FIX]: remove cast to float in scalers jmoralez (1115)
- [FIX]: timemixer shapes mismatch and doc update carusyte marcopeix (1138)

Dependencies
- Bump pypa/gh-action-pypi-publish from 1.10.0 to 1.10.1 in the ci-dependencies group dependabot (1146)
- Bump the ci-dependencies group with 2 updates dependabot (1135)

New Features

- [FEAT] - Add KAN marcopeix (999)
- [FEAT] - Add TimeMixer marcopeix (1071)
- [FEAT] - Add support for datasets that can't fit in memory jasminerienecker (1049)

Bug Fixes

- [FIX] ignore pytorch lightning's PossibleUserWarning fabianbergermann (1081)
- [FIX] bug in the NBEATSx exogenous basis stack jasminerienecker (1072)
- [FIX] Fix nbdev_version in test & environment elephaint (1089)

Documentation

- [DOCS] add tutorial for large dataset DataLoader jasminerienecker (1074)
- [DOCS] Restructure documentation elephaint (1063)
- [DOCS] Fix examples elephaint (1092)
- [DOCS] Fix tables elephaint (1090)
- [DOCS] Fix docs layout issues elephaint (1085)
- [DOCS] Fix issues elephaint (1082)

Dependencies

- Bump actions/setup-python from 5.1.0 to 5.1.1 in the ci-dependencies group dependabot (1067)
- use commit hash in actions and add dependabot updates jmoralez (1066)

New Features

- [FEAT] ISQF elephaint (1019)
- [FEAT] - Add SOFTS model marcopeix (1024)
- [FEAT] Add option to support user defined learning rate scheduler for NeuralForecast Models JQGoh (998)
- [FEAT] Implicit Quantile Networks elephaint (1007)

Bug Fixes

- use assign argument if available in nn.Module.load_state_dict jmoralez (1032)
- update min_size in TimeSeriesDataset.append jmoralez (1033)
- fix num_tasks in spark integration jmoralez (1028)

Documentation

- fix: add tsmixer tutorial to sidebar AzulGarza (978)
- Update models in the README candalfigomoro (946)

Enhancement

- suppress warning when saving hyperparameters in base auto jmoralez (1034)
- automatically set refit_with_val when early stopping is enabled jmoralez (1031)

New Features

- [FEAT] DeepNPTS model elephaint (990)
- [FEAT] TiDE model elephaint (971)

Bug Fixes

- [FIX] Refit after validation boolean elephaint (991)
- fix cross_validation results with uneven windows jmoralez (989)
- [FIX] fix wrong import doc PatchTST elephaint (967)
- [FIX] raise exception nbeats h=1 with stacks elephaint (966)

Enhancement

- reduce default warnings jmoralez (974)
- Create CODE_OF_CONDUCT.md tracykteal (972)

New Features

- multi-node distributed training with spark jmoralez (935)
- [FEAT] Add BiTCN model elephaint (958)
- [FEAT] - Add iTransformer to neuralforecast marcopeix (944)
- [FEAT] Add MLPMultivariate model elephaint (938)

Bug Fixes

- [FIX] Fixes default settings of BiTCN elephaint (961)
- [FIX] HINT not producing coherent forecasts elephaint (964)
- [FIX] Fixes 948 multivariate predict/val issues when n_series > 1024 elephaint (962)
- handle exogenous variables of TFT in parent class jmoralez (959)
- fix early stopping in ray auto models jmoralez (953)
- fix cross_validation when the id is the index jmoralez (951)

Documentation

- add MLflow logging example cargecla1 (892)