Tutorial Using Windowing on Time Series Data - Missing attributes
Hi,
concerning https://academy.rapidminer.com/learn/course/machine-learning-master/time-series/time-series-forecasting-and-modeling?page=1 the attribute Temperature should be appear in the list for horizion attribute. Currently is the attribut is not available.
Please advice me.
Thanks,
Michel
Currently:
should be:
concerning https://academy.rapidminer.com/learn/course/machine-learning-master/time-series/time-series-forecasting-and-modeling?page=1 the attribute Temperature should be appear in the list for horizion attribute. Currently is the attribut is not available.
Please advice me.
Thanks,
Michel
Currently:
should be:
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The same issue here: https://academy.rapidminer.com/learn/course/time-series-analytics/time-series-analytics/time-series-forecasting-and-modelling?page=2
Altair EmployeeThank you for pointing this out Michel. Yes, I see the same thing. The numeric attributes are ignored by the drop-down list. So in order to follow along, you have to manually add the name of the correct attribute. We will look into the best way to improve this.
Altair EmployeeHi @michel7 The processes should be fixed now. The reason was that the cleansed data had been saved according to an older version of the extension, but the newer version of the extension expected the different data types in the cleansed data. By updating the data with the new extension, it's now compatible again. We've also added some optional steps in the data preparation that should help make it a little more robust.
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Altair EmployeeHi @michel7 The processes should be fixed now. The reason was that the cleansed data had been saved according to an older version of the extension, but the newer version of the extension expected the different data types in the cleansed data. By updating the data with the new extension, it's now compatible again. We've also added some optional steps in the data preparation that should help make it a little more robust.