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When performing transfer learning if we have historic scalers we should refit them to the new data, such that when applying the scaling it has the expected statistics. Currently we reuse the scalers fitted on the original data, which produce different statistics than the expected.
What happened + What you expected to happen
When performing transfer learning if we have historic scalers we should refit them to the new data, such that when applying the scaling it has the expected statistics. Currently we reuse the scalers fitted on the original data, which produce different statistics than the expected.
Versions / Dependencies
1.7.2
Reproduction script
Issue Severity
High: It blocks me from completing my task.
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