Recipe steps can change the number of rows in the dataset and apply wider impacts to your dataset and its samples.
These reshaping steps include the following transformations:
When one of these transformations is applied and rows are removed from your dataset:
- Any samples generated before the step was added are invalidated and cannot be used.
- If you edit steps in your recipe before this added transformation, any samples that you generated after the step are invalidated and cannot be used.
- A valid initial sample is always available for use.
For more information, see Samples Panel
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