v1.4.0

[AzulGarza]

What's Changed

DOCS

• [DOCS] Temporal Fusion Transformer tutorial in [DOCS] Temporal Fusion Transformer tutorial #370
• [DOCS] TFT in Doc/tft #373
• [DOCS] Updated tutoriales with latest pip version in [DOCS] Updated tutoriales with latest pip version #374
• [DOCS] Add table-based documentation for core nb in [DOCS] Add table-based documentation for core nb #378
• [DOCS] Exogenous variable tutorial in [DOCS] Exogenous variable tutorial #382
• [DOCS] Tutorial on automatic hyperparameter tuning in [DOCS] Tutorial on automatic hyperparameter tuning #412
• [DOCS] Update tutorials in [DOCS] Update tutorials #442

Fixes/Bugs

• [FIX] Errors with fill_between function (matplotlib) in [FIX] Errors with fill_between function (matplotlib) #377
• [FIX] Add correct link to hierarchicalforecast in [FIX] Add correct link to hierarchicalforecast #376
• [FIX] Multiple GPU predict protection in [FIX] Multiple GPU predict protection #391
• [FIX] Return scaled distribution parameters in [FIX] Return scaled distribution parameters #397
• [FIX] Changed Ordering of mu/std names in GMM class in [Fix] Changed Ordering of mu/std names in GMM class #402
• [FIX] Updated Scale Decouple Optimization (for Variance) in Fix : Updated Scale Decouple Optimization (for Variance) #414
• [BUG] Fix probabilistic losses quantile instantiation in [BUG] Fix probabilistic losses quantile instantiation #416
• [FIX] Add instructions to activate GPU (intermittent tutorial) in [FIX] Add instructions to activate GPU (intermittent tutorial) #422
• [FIX] Fixed NaNs in scalers with short series in [FIX] Fixed NaNs in scalers with short series #425
• [FIX] Fixed torch.concat in base_recurrent return params in Fix: Fixed torch.concat in base_recurrent return params #431
• [FIX] Correct output parsing for recurrent valid_loss in [FIX] Correct output parsing for recurrent valid_loss #438
• [FIX] Remove unused module neuralforecast/losses.py in [FIX] Remove unused module neuralforecast/losses.py #441
• [FIX] Docs deployment in [FIX] Docs deployment #443

New features

• [FEAT] Add intermittent data tutorial in [FEAT] Add intermittent data tutorial #421
• [FEAT] Scale-Decoupled Optimization by [FEAT] Scale-Decoupled Optimization #406
• [FEAT] Optimization improvements and new features in [FEAT] Optimization improvements and new features #383
• [FEAT] Added valid_loss possibilities in [FEAT] Added valid_loss possibilities #418
• [FEAT] Rich Fix + Negative Binomial in [FEAT] Rich Fix + Negative Binomial #424
• [FEAT] Zero Inflated and Categorical Distributions (NBinomial, Tweedie, Bernoulli) in [FEAT] Zero Inflated and Categorical Distributions (NBinomial, Tweedie, Bernoulli) #427
• [FEAT] Added predict_rolled method in [FEAT] Added predict_rolled method #429

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

---

This discussion was created from the release v1.4.0.