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Scalable machine 🤖 learning for time series forecasting.
Overview
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v0.13.0
1 week ago
Breaking Change
set
refit=False
and
results_
as dict in AutoMLForecast @jmoralez (#341)
Bug fixes
fix: fitted nonrecursive cv with horizon >= 10 @adriaanvh1 (#333)
Enhancement
speedup date features @jmoralez (#340)
Create CODE_OF_CONDUCT.md @tracykteal (#335)
v0.12.1
1 month ago
New Features
add auto module for hyperparameter optimization @tblume1992 (#306)
add DistributedMLForecast.update @jmoralez (#324)
Bug Fixes
fix cv fitted values with prediction intervals @jmoralez (#330)
v0.12.0
2 months ago
Enhancement
migrate to coreforecast @jmoralez (#311)
v0.11.8
3 months ago
Bug Fixes
ensure coreforecast is installed for AutoDifferences @jmoralez (#314)
v0.11.7
3 months ago
New Features
add auto differences @jmoralez (#310)
v0.11.6
3 months ago
New Features
add to_local method to distributed forecast @jmoralez (#302)
support saving and loading forecast objects @jmoralez (#301)
v0.11.5
4 months ago
Bug Fixes
add update method to target_transforms @jmoralez (#293)
Enhancement
use coreforecast target_transforms when installed @jmoralez (#294)
v0.11.4
4 months ago
Bug Fixes
fix predict with multiple models @jmoralez (#290)
Dependencies
polars updates @jmoralez (#291)
v0.11.3
5 months ago
New Features
add level argument to forecast_fitted_values @jmoralez (#287)
add X_df argument to distributed predict @jmoralez (#286)
v0.11.2
5 months ago
New Features
add X_df debugging methods @jmoralez (#283)
add quantile lag_transforms @jmoralez (#282)
support lag transforms namer @jmoralez (#280)
Documentation
add sklearn pipelines guide @jmoralez (#277)
Dependencies
update utilsforecast @jmoralez (#281)
Enhancement
don't recompute features already present in df @jmoralez (#279)
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