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Time series preparation: STL import error
Added on March 20, 2023 12:00PM
Likes: 0
Replies: 9
raphanash
Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Registered Posts: 9 ✭
Hi there,
I am working on a multivariate analysis of a time series dataset containing various commodity prices.
After preparing the dataset, it consists of:
- a parsed date, "Data_parsed"
- 63 other columns of various commodity prices and indexes ranging from Fuels and Beverages to Metals
I am using the Time Series Preparation Plugin to resample the dataset- this is so that I can carry out a Kwiatkowski-Phillips-Schmidt-Shin test which requires a constant, regular time step for results to be correct.
However, I've received a class "ImportError" when STL is imported from "statsmodels.tsa.seasonal".
Here is the setup containing the error:
For my details, here is the error log:
Not sure if this requires a simple importing fix using a "pip install statsmodels" command or if there is another cause behind the error.
I am using the free version of Dataiku DSS, version 11.3.2.
Thanks in advance for any help.
Answers
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JordanB Dataiker, Dataiku DSS Core Designer, Dataiku DSS Adv Designer, Registered Posts: 297 DataikerHi @raphanash
,Please try using this (add to your code env and select update):
statsmodels==0.12.1
Thanks!
Jordan
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many thanks!
In admin settings, I can't see any code environments.
Do I need to create an environment and upload it to DSS or should there be an existing environment with basic packages to which I can add "statsmodels==0.12.1"?
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JordanB Dataiker, Dataiku DSS Core Designer, Dataiku DSS Adv Designer, Registered Posts: 297 Dataiker
Hi @raphanash
,It sounds like you may need your DSS administrator to create a code environment for you or give you permission to create and/or manage a code env in order to add this package.
Create new code env (Administration > Code Envs):
Add package under "packages to install":
Thanks!
Jordan
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Hi,
I've added the statsmodels package to "packages to install", but I've encountered this error (below). DSS automatically added the required packages for Visual ML on top of statsmodels.
I am running python 3.10.
I appreciate your help!
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Tried again without the additional packages, the same error appears.
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JordanB Dataiker, Dataiku DSS Core Designer, Dataiku DSS Adv Designer, Registered Posts: 297 Dataiker
Hi @raphanash
,Please try rebuilding the code environment from the plugins page (it should be based on python3.6). Select plugins > Installed > Time Series Preparation > Change or Dissociate code environment.
This will automatically add the packages that you need to the code env.
If you receive an error, please send a list of the packages that are installed in the new managed code env as well as the error message.
Thanks!
Jordan
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Hi,
Do I need to have python 3.6 installed for this to work?
I haven't been able to build the environment, perhaps I am using an incorrect python implementation:
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JordanB Dataiker, Dataiku DSS Core Designer, Dataiku DSS Adv Designer, Registered Posts: 297 Dataiker
Hi @raphanash
,According to your logs, you do have Python 3.7 installed as well, however, you need Python 3.6 installed to build this managed code env: https://github.com/dataiku/dss-plugin-timeseries-preparation/blob/master/code-env/python/desc.json#L3
Once you've installed Python 3.6 on your host machine and added it to your path, please restart DSS.
Thanks,
Jordan
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Hi there, everything works perfectly now!
Many thanks for your help.