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In the eval_forecasting() function, the authors split the training, validation, and test sets after encoding all data as representation. Considering that the convolutional network is used to construct…
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## Overview
This function will check correctness of model metadata files. The checklist was compiled from the compiled checks spreadsheet across existing hubs and may be superceded by current hubve…
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Thank you for your great contribution. I was unable to understand the difference in usage for the sliding length and sliding padding. For example, if I wanted to utilize X days for a forecasting p…
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**Describe the bug**
When training and evaluating a model using .historical_forecasts(), the model's checkpoint is not saved when using model.save(). Only the .pt file is saved but no .ckpt file is c…
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Eric J. from GSL updated UPP to support output of GSL P-type for RRFS v1.
Huiya emailed Fanglin and RRFS project managers about switching GFS v17 to use GSL Ptype.
Fanglin asked Ruiyu to investiga…
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Hello,
First of all, thanks for this library!
I want to train the model on all of my data, then create a future dataframe and let the model forecast those timesteps. This is to simulate a real-w…
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While importing scalecast "from scalecast.Forecaster import Forecaster", I get the below error.
scalecast version - 0.18.4
pandas version 2.0.1
packages/lightgbm/__init__.py:8), in
2 """Lig…
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Hi,
I cannot find the tutorials for submission and local evaluaiton of End-to-end forecasting task.
Are you going to release the baseline code of E2E forecasting? So that we can easily underst…
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## Description
I'm running a time series forecasting model to predict for almost 47,000 item_id's/ unique combinations at a time.
The data looks similar to this:
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