In sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-forecasting-in-pipeline/automl-forecasting-in-pipeline.ipynb at Chapter 4.1 it is explained, that one can update the data with newer values and leave NaNs for the values that should be predicted. However when I try to do it, it just overwrites my actual values and not just the NaNs... Can someone explain how that is possible?
Expected behavior
The actual values should stay how they are, only NaNs should be overwritten.
Actual behavior
Actual values are overwritten with predicted values.
Operating System
Windows
Version Information
Python Version 3.8
Steps to reproduce
In sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-forecasting-in-pipeline/automl-forecasting-in-pipeline.ipynb at Chapter 4.1 it is explained, that one can update the data with newer values and leave NaNs for the values that should be predicted. However when I try to do it, it just overwrites my actual values and not just the NaNs... Can someone explain how that is possible?
Expected behavior
The actual values should stay how they are, only NaNs should be overwritten.
Actual behavior
Actual values are overwritten with predicted values.
Addition information
No response