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Remove residuals in forecast dataframe returned by m.predict() #927
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*Disabled the plotting option for residuals as well *Not really needed as residuals are part of basic metrics such as MAE and RMSE *forecast df is very large, which may overwhelm the user. Now more lean
Codecov Report
@@ Coverage Diff @@
## main #927 +/- ##
==========================================
+ Coverage 87.43% 87.68% +0.24%
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Files 17 17
Lines 4466 4433 -33
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- Hits 3905 3887 -18
+ Misses 561 546 -15
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Can you have it pass the flake8 and metrics test? Thanks. |
Can you pass the flake8 test by resolving this following issue?
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In the future we may add a tutorial on how to analyze residuals and what one can learn from them. |
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LGTM
fixed merge commits. ready to merge when tests pass. |
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*Disabled the plotting option for residuals as well
*Not really needed as residuals are part of basic metrics such as MAE and RMSE
*forecast df is very large, which may overwhelm the user. Now more lean