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[E&A] Fixes rendering 2^32^ as 2 to the power 32 #1432

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May 20, 2025
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[E&A] Fixes rendering 2^32^ as 2 to the power 32 #1432

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4 changes: 2 additions & 2 deletions explore-analyze/machine-learning/data-frame-analytics/ml-dfa-limitations.md
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Expand Up @@ -43,9 +43,9 @@ You cannot update {{dfanalytics}} configurations. Instead, delete the {{dfanalyt

When you create a {{dfanalytics-job}} and the inference step of the process fails due to the model is too large to fit into JVM, follow the steps in [this GitHub issue](https://github.com/elastic/elasticsearch/issues/76093) for a workaround.

### {{dfanalytics-jobs-cap}} cannot use more than 232 documents for training [dfa-training-docs]
### {{dfanalytics-jobs-cap}} cannot use more than 2^32^ documents for training [dfa-training-docs]
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Screenshot 2025-05-20 at 15 06 23

The OTP renders the raw markup — might want to just use 2^32 for the heading

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2^32 is rendered as 2^32 in the heading as well as in the OTP. I leave as is now so at least the title is rendered correctly. I'll also file an issue for V3.

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Opened the issue: elastic/docs-builder#1281


A {{dfanalytics-job}} that would use more than 232 documents for training cannot be started. The limitation applies only for documents participating in training the model. If your source index contains more than 232 documents, set the `training_percent` to a value that represents less than 232 documents.
A {{dfanalytics-job}} that would use more than 2^32^ documents for training cannot be started. The limitation applies only for documents participating in training the model. If your source index contains more than 2^32^ documents, set the `training_percent` to a value that represents less than 2^32^ documents.

### Trained models created in 7.8 are not backwards compatible [dfa-inference-bwc]

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