Emhass

Latest version: v0.11.2

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0.4.6

Fix
- Fixed wrong path for saved ML forecaster model.

0.4.5

Fix
- Fixed default behavior for passed data.
- Added a new graph for tune results.

0.4.4

Fix
- Added missing possibility to set the method for load forecast to 'mlforecaster'.
- Fixed logging formatting.

0.4.3

Fix
- Fixed logging.
- Fixed missing module on docker standalone mode.

0.4.2

Fix
- Fixed handling of default passed params.

0.4.1

Improvement
- Improved the documentation and the in-code docstrings.
- Added the possibility to save the optimized model after a tuning routine.
- Added the possibility to publish predict results to a Home Assistant sensor.
- Added the possibility to provide custom entity_id, unit_of_measurement and friendly_name for each published data.

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