1st place solution for AutoSeries (AutoML competition on time-series)
Details of the solution: AutoML for Time Series Forecasting
Public solution for AutoSeries competition
License: MIT License
1st place solution for AutoSeries (AutoML competition on time-series)
Details of the solution: AutoML for Time Series Forecasting
Hi,
Thank you for sharing your code and ppt.
I have learned a lot from your code and analysis!
I saw "Determine important features: fit random forest -> top 3 (gini)" in your 'automl.pdf'
but I found the default lightgbm boosting params is 'gbdt' as shown here: https://lightgbm.readthedocs.io/en/latest/Parameters.html#boosting
and I found no clue in your code about random forest, and I wonder if I made any mistakes
Sincerely,
Wang Chen
I make a dataset which has the same feature as your dataset data/15/
, there is no problem when I tested on dataset 14
and 15
, yet when I tested on my dataset, it throws 'IndexError: single positional indexer is out-of-bounds
,
I can not see the difference in format between my dataset with dataset 15
, Would you please give me some clue? Thanks.
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