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PytorchForecastingTransform
How we have this line in PytorchForecastingTransform.fit:
PytorchForecastingTransform.fit
ts = TSDataset(df, "1d")
The problem is that this df can have any frequency.
df
Frequency is calculated instead of hardcoding using pd.infer_freq.
pd.infer_freq
Use not daily dataset with neural models.
No response
The text was updated successfully, but these errors were encountered:
Method transform has the same issue аdditionaly.
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Mr-Geekman
Successfully merging a pull request may close this issue.
🐛 Bug Report
How we have this line in
PytorchForecastingTransform.fit
:The problem is that this
df
can have any frequency.Expected behavior
Frequency is calculated instead of hardcoding using
pd.infer_freq
.How To Reproduce
Use not daily dataset with neural models.
Environment
No response
Additional context
No response
Checklist
The text was updated successfully, but these errors were encountered: