Improvement
- On this new version we now have a new method to train a regression model using Scikit-Learn methods. This is the contribution of @gieljnssns. Check the dedicated section in the documentation to this new feature: https://emhass.readthedocs.io/en/latest/mlregressor.html
- Again another bunch of nice improvements by @GeoDerp:
- Added Dictionary var containing EMHASS paths
- MLForcaster error suppression
- Add
freqas runtime parameter - Improved documentation added README buttons
- Bumping dependencies:
- Bump h5py from 3.10.0 to 3.11.0
- Bump myst-parser from 2.0.0 to 3.0.1
- Bump skforecast from 0.11.0 to 0.12.0
What's Changed
- Dynamic paths with emhass config dict, some mlforcaster error suppression by @GeoDerp in #247
- patch: Tests still succeed when sensor param changes in emhass_config by @GeoDerp in #253
- Bump h5py from 3.10.0 to 3.11.0 by @dependabot in #254
- utils.py add freq as runtime parameters by @GeoDerp in #255
- Add a function to predict a value from a csv file. Part2 by @gieljnssns in #260
- Readme Buttons by @GeoDerp in #267
- mlregressor.md adjusted curl examples by @GeoDerp in #272
- Bump myst-parser from 2.0.0 to 3.0.1 by @dependabot in #263
- Bump skforecast from 0.11.0 to 0.12.0 by @dependabot in #274
New Contributors
- @gieljnssns made their first contribution in #260
Full Changelog: v0.8.6...v0.9.0