A first minimal version of timeseries lib #1
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
hrzn
requested review from
kstyrc,
tomekchudzik,
endrjuskr,
mrastan,
TheMP,
unit8knawara and
weronikadranka
kstyrc
approved these changes
Sep 17, 2018
weronikadranka
approved these changes
Sep 17, 2018
|
|
||
| class ExponentialSmoothing(TimeseriesModel): | ||
|
|
||
| def __init__(self, trend='additive', seasonal='additive', seasonal_periods=12): |
There was a problem hiding this comment.
According to documentation we should use endog parameter,
class statsmodels.tsa.holtwinters.ExponentialSmoothing(endog, trend=None, damped=False, seasonal=None, seasonal_periods=None, dates=None, freq=None, missing='none')
I've encountered an error while I was using ExpotentialSmoothing (init() missing 1 required positional argument: 'endog')
There was a problem hiding this comment.
Are you sure you called u8timeseries.ExponentialSmoothing? It seems you called the statsmodels version.
The code should look like this:
import pandas as pd
from u8timeseries import ExponentialSmoothing
my_df = pd.DataFrame({
'timestep': [1, 2, 3],
'values': [4, 5, 6]
})
my_model = ExponentialSmoothing()
my_model.fit(my_df, 'values')
# n step ahead prediction:
predictions = my_model.predict(n=6)
print(predictions)
mkos
added a commit
that referenced
this pull request
Sep 13, 2021
Co-authored-by: Julien Herzen <julien.herzen@unit8.co>
mkos
added a commit
that referenced
this pull request
Sep 13, 2021
mkos
added a commit
that referenced
this pull request
Sep 27, 2021
Co-authored-by: Julien Herzen <julien.herzen@unit8.co> Co-authored-by: Dennis Bader <dennis.bader@gmx.ch>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Joint work with @kstyrc
Check the README and try it!