Learn how to troubleshoot and resolve time field processing issues in a Power BI time series machine learning model. Understand why converting time data to text is not the solution.
Table of Contents
Question
You have a Power Query query in a Power BI report. The query maps source database columns to the input columns of a time series machine learning model.
You discover that the model fails to process a source time field.
You need to ensure that the model processes the field.
Solution: You convert the time column into the Text data type.
Does this meet the requirement?
A. Yes
B. No
Answer
B. No
Explanation
The solution does not meet the requirement. Converting the time column into the Text data type is not the correct approach to ensure that the model processes the field. Machine learning models require numerical or categorical data to function properly. Time data is typically converted into a numerical format that represents a specific point in time, rather than being converted into a text format.
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