6 Commits

Author SHA1 Message Date
Kevin Chen
519bfc2a18
Integrate multivariate time series forecasting (#254)
* Integrate multivariate time series forecasting, now supports
continuous and categorical variables

- update data.py to transform time series data
- update search space
- update documentations to reflect changes
- update test_forecast.py
- rename 'forecast' task to 'ts_forecast' task

* update automl.py and test_forecast.py

* update forecast notebook

* update README.md and setup.py

* update ml.py and test_forecast.py

- make "ds" and "y" constant variables

* replace constants with constant variables

* bump version to 0.7.0

* update setup.py
- support 'forecast' and 'ts_forecast'

* update automl.py and data.py
- support 'forecast' and 'ts_forecast' tasks
2021-10-30 09:48:57 -07:00
Chi Wang
ea6c6ded2f
clean up forecast notebook (#202) 2021-09-13 21:16:42 -07:00
Kevin Chen
ec34427ca8
Forecast v2 (#182)
* update flaml_forecast.ipynb

* visualize predictions for comparison

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>
2021-09-01 18:06:37 -07:00
Chi Wang
6ab0730793
remove catboost training dir; ensemble api; blendsearch for hierarchical space; ranking task; forecast improvement (#178)
* remove catboost training dir

* close #48

* bs for hierarchical space. close #85

* retrain for hierarchical space

* clean ml (#180)

Co-authored-by: Qingyun Wu <qxw5138@psu.edu>

* support ranking task

* examples

* cv shuffle

* forecast api and implementation cleaner

* period constraints

* delete groups after fit
2021-09-01 16:25:04 -07:00
Qingyun Wu
a229a6112a
Support parallel and add random search (#167)
* non hashable value out of signature

* parallel trials

* add random in _search_parallel

* fix bug in retraining

* check memory constraint before training

* retrain_full

* log custom metric

* retraining budget check

* sample size check before retrain

* remove 'time2eval' from result

* report 'total_search_time' in result

* rename total_search_time to wall_clock_time

* rename train_loss boolean to log_training_metric

* set default train_loss to None

* exclude oom result

* log retrained model

* no subsample

* doc str

* notebook

* predicted value is NaN for sarimax

* version

Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Qingyun Wu <qxw5138@psu.edu>
2021-08-23 16:36:51 -07:00
Kevin Chen
3d0a3d26a2
Forecast (#162)
* added 'forecast' task with estimators ['fbprophet', 'arima', 'sarimax']

* update setup.py

* add TimeSeriesSplit to 'regression' and 'classification' task

* add 'time' split_type for 'classification' and 'regression' task

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* feature importance

* variable name

* Update test/test_split.py

Co-authored-by: Chi Wang <wang.chi@microsoft.com>

* Update test/test_forecast.py

Co-authored-by: Chi Wang <wang.chi@microsoft.com>

* prophet installation fail in windows

* upload flaml_forecast.ipynb

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>
2021-08-23 13:26:46 -07:00