# make qiime2 2026.4 compatible with classifiers made with Sklearn Version 1.4.2?

**URL:** https://forum.qiime2.org/t/make-qiime2-2026-4-compatible-with-classifiers-made-with-sklearn-version-1-4-2/34176
**Category:** Silva
**Created:** [May 14, 2026, 5:20pm UTC](https://forum.qiime2.org/t/make-qiime2-2026-4-compatible-with-classifiers-made-with-sklearn-version-1-4-2/34176 "2026-05-14T17:20:58Z")
**Posts on this page:** 1
**Showing post:** 2

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### Author: ![SoilRotifer](https://forum.qiime2.org/user_avatar/forum.qiime2.org/soilrotifer/32/21071_2.png) [@SoilRotifer](https://forum.qiime2.org/u/SoilRotifer)
#### Post date: [May 14, 2026, 7:08pm UTC](https://forum.qiime2.org/t/make-qiime2-2026-4-compatible-with-classifiers-made-with-sklearn-version-1-4-2/34176/2 "2026-05-14T19:08:18Z")

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Hi @Carla_Perez_Mon,

The best approach would be to follow the general approach outlined [here](https://forum.qiime2.org/t/processing-filtering-and-evaluating-the-silva-database-and-other-reference-sequence-data-with-rescript/15494) to construct your own classifier.

You can choose which steps you'd like to keep/skip and the order in which you lke to run them. For example, if I want to make an amplicon specific classifier _(you do not have to; but it does help if you do not have enough memory on your machine to construct a classifier)_ I often follow [this](https://forum.qiime2.org/t/rescript-plug-in-error-deprelicate-after-extracting-reads-for-amplicon-region-specific-classifier/34010/2) approach.

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