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I am using the following command that is provided by this repo (only difference is the batch_size)
python train.py spacetimeformer solar_energy --context_points 168 --target_points 24 --d_model 100…
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Hi, I noticed that you normalized the input time series by dividing the maximum value in function `util.py/DataLoaderS._normalized` and scaled it back when computing loss. Could you please tell the re…
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Hello, When I run LSTNet 'python main.py --gpu 0 --horizon 24 --data data/electricity.txt --save save/elec.pt --output_fun Linear' return error as follows.
Traceback (most recent call last):
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计算rse与rae为啥要比上样本数,还要比上真实值的标准差与平均绝对误差??求求大佬讲解
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Get the list at [Informon](https://github.com/jsanchezamai/smartgardener/wiki/Informon).
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Hello, i have a few questions regarding the exmaples:
1)from what i understood the model (lets say LSTnet) get as input a target and the data with features (same size of the target + target itself) t…
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Hello,First of all I would like to thank you for this excellent framework.
I get a question :
Can I just train the model once and skip the Space Searching ?
![image](https://user-images.githubuserc…
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Some experiment results which contain validation loss among several loss functions.
Electricity data is from [Multivariate Time series Data sets](https://github.com/laiguokun/multivariate-time-series…
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I trained a deepAR estimator using a specific `context_length` and `prediction_length`.
Then I want to predict `prediction_length` future values.
I don't understand why I get different predictions d…
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### Discussed in https://github.com/awslabs/gluon-ts/discussions/1577
Originally posted by **shubhashish1** June 21, 2021
Hi,
I am doing a monthly predictions for a list of items and the date…