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Analog to #2860 and #1624, we should discuss if we write an adapter for pytorch-forecasting.
Pros:
* Implements multiple state of the art DL forecasters.
Cons:
* Not sure if it is useful to su…
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If you enter the Forecast menu from the main menu, absolute path declarations work as expected. It fails when you enter the menu from the Stocks menu because it only navigates back by one menu level i…
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[`darts`](https://unit8co.github.io/darts/) is a great library for time series prediction. It would be great if bentoml supports the darts library.
Note: darts wraps a bunch of existing (time serie…
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**Describe the bug**
When calling NBEATs predict() I get the following error:
```
ERROR:main_logger:ValueError: The model has been trained with future covariates. Some matching future_covariate…
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**Describe the bug**
N-Beats and xgboost models are taking more time when executing in parallel. If I am using single process, each algorithm is executing within one sec. Where as If I increase proce…
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**Describe the bug**
Predict covariates does not work for XGBOOST/ CATBOOST/LIGHTGBM
**To Reproduce**
Attached is the excel file that has sample data - I did spend time going through darts.utils…
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Exception: Horizon `h=1` incompatible with `seasonality` or `trend` in stacks
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### What happened + What you expected to happen
Hi, I'm a beginner on deep learning time-series forcasting and really appreicate about the work on neuralforcast which provide the strong function and …
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用MLP/LSTNet等模型进行paddlets训练时添加了已知列(known_cols),但在调用模型预测时,发现已知列的数据对预测结果没有任何影响,甚至待预测数据中没有已知列也不会报错。
`
tsDataset = TSDataset.load_from_dataframe(
df,
time_col='monitorTime', target_cols='…
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I am using NBEATS model for forecasting. Since we are in a trial phase we are giving past data and generating forecast from the same and we are repeating these steps using a for-loop. We are predictin…