Maintenance Release (26/09/2021)

Added

• Use target name instead of target number for logging metrics (#588)
• Optimizer can be initialized by passing string, class or function (#602)
• Add support for multiple outputs in Baseline model (#603)
• Added Optuna pruner as optional parameter in TemporalFusionTransformer.optimize_hyperparameters (#619)
• Dropping support for Python 3.6 and starting support for Python 3.9 (#639)

Fixed

• Initialization of TemporalFusionTransformer with multiple targets but loss for only one target (#550)
• Added missing transformation of prediction for MLP (#602)
• Fixed logging hyperparameters (#688)
• Ensure MultiNormalizer fit state is detected (#681)
• Fix infinite loop in TimeDistributedEmbeddingBag (#672)

Contributors

• jdb78
• TKlerx
• chefPony
• eavae
• L0Z1K