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View / edit / reply to this conversation on ReviewNB martins0n commented on 2022-10-07T06:04:27Z Line #6. from etna.models.mixins import MultiSegmentModelMixin Let's dont use these mixins, these are technical once for own use. I guess we should make example from scratch without magic and multiple dependencies Mr-Geekman commented on 2022-10-07T07:07:23Z Even for per-segment type? |
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comments in notebook
We should explain the purpose of our new context aware abastract classes, I think we miss it now
Even for per-segment type? View entire conversation on ReviewNB |
This reverts commit 3c2f845.
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View / edit / reply to this conversation on ReviewNB martins0n commented on 2022-10-07T11:58:29Z These classes have different signatures for
methods theirs
if a model
It is an interval of dataset that goes right before the interval we want to make prediction on.
It is a part of a dataset before predection points that is necessary for making forecasts
predictions into the future - > seems like it's about any predicitions |
View / edit / reply to this conversation on ReviewNB martins0n commented on 2022-10-07T11:58:30Z Line #18. ) What about kwargs and parameters saving for to_dict |
View / edit / reply to this conversation on ReviewNB martins0n commented on 2022-10-07T11:58:30Z Line #2. Why do we need this if we use pipeline below anyway? |
View / edit / reply to this conversation on ReviewNB martins0n commented on 2022-10-07T11:58:31Z predictions have been made - maybe |
View / edit / reply to this conversation on ReviewNB martins0n commented on 2022-10-07T11:58:32Z Maybe we have the difference becouse of randomization? Mr-Geekman commented on 2022-10-07T12:08:48Z I will fix random seed inside model. |
.binder/requirements.txt
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etna[all] @ git+https://github.com/tinkoff-ai/etna.git@master | |||
etna[all] @ git+https://github.com/tinkoff-ai/etna.git@issue-974 |
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why do we need this?
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I will remove it, it is for the case when I want to run it on clean machine in binder (some warnings aren't present where).
I will fix random seed inside model. View entire conversation on ReviewNB |
View / edit / reply to this conversation on ReviewNB martins0n commented on 2022-10-10T11:27:30Z Line #7. log = LogTransform(in_column="target", out_column="log") We don't use it in transforms |
This reverts commit 1dd91f6.
Before submitting (must do checklist)
Proposed Changes
Look #973.
Closing issues
Closes #973.