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5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

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I try to do seq2seq.py, a legend appears when I execute model.fit_generator "Input dimension: (?, 100, 35)", how could I run this?

Firstly thanks for this great solution for the competition. I found the following lines from lgbm.py script[line 52] and the statistical feature median value is actually implemented with mean method,...

when i run "history = model.fit_generator(train, steps_per_epoch=1000, use_multiprocessing=True, epochs=18, verbose=2, validation_data=(Xval, Yval, w))" i got the AttributeError: Can't pickle local object 'GeneratorEnqueuer.start..data_generator_task' do you know how to fix it ....

hi, i'm trying to run the code on my mac. it seems that there is many problems when i use the data downloaded from kaggle, could you please upload the...

I'm getting the following error in the seq2seq.py script: ``` Xval, Yval = create_dataset(df, promo_df, items, stores, timesteps, date(2017, 7, 26), aux_as_tensor=True, reshape_output=2) Traceback (most recent call last): File "",...