| Author | SHA1 | Message | Date |
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42de3075e9
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Make NLP tasks available from AutoML.fit() (#210)
Sequence classification and regression: "seq-classification" and "seq-regression" Co-authored-by: Chi Wang <wang.chi@microsoft.com> |
4 years ago |
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a229a6112a
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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> |
4 years ago |
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3d0a3d26a2
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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> |
4 years ago |