Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

TimeSeriesImputer to error if dataset has grains with different frequencies #4441

Open
daholste opened this issue Nov 5, 2019 · 0 comments
Assignees
Labels

Comments

@daholste
Copy link
Contributor

@daholste daholste commented Nov 5, 2019

This is a feature request for TimeSeriesImputer to raise an error if a dataset has grains with different frequencies.

For instance, another time series imputer (one used by Azure AutoML) raises the error:
“More than one series is in the input data, and their frequencies differ. Please separate series by frequency and build separate models. If frequencies were incorrectly inferred, please fill in gaps in series.”

Also, in TimeSeriesImputer today, if grains grains have frequencies that are relatively prime, this appears to lead to odd behavior

@gvashishtha gvashishtha self-assigned this Nov 7, 2019
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
2 participants
You can’t perform that action at this time.