I am trying to use silva classifier on the server, I have tried different classifiers but it didn't solve this issues
I always got
Plugin error from feature-classifier:
The scikit-learn version (0.20.2) used to generate this artifact does not match the current version of scikit-learn installed (1.4.2). Please retrain your classifier for your current deployment to prevent data-corruption errors.
Debug info has been saved to /tmp/qiime2-q2cli-err-iap__i4m.log
I have qiime 2024.5 version
qiime info
System versions
Python version: 3.9.19
QIIME 2 release: 2024.5
QIIME 2 version: 2024.5.1
q2cli version: 2024.5.0
Installed plugins
alignment: 2024.5.0
composition: 2024.5.0
cutadapt: 2024.5.0
dada2: 2024.5.0
deblur: 2024.5.0
demux: 2024.5.0
diversity: 2024.5.1
diversity-lib: 2024.5.0
emperor: 2024.5.0
feature-classifier: 2024.5.0
feature-table: 2024.5.0
fragment-insertion: 2024.5.0
longitudinal: 2024.5.0
metadata: 2024.5.0
phylogeny: 2024.5.0
quality-control: 2024.5.0
quality-filter: 2024.5.0
rescript: 2024.5.1
sample-classifier: 2024.5.0
taxa: 2024.5.0
types: 2024.5.0
vsearch: 2024.5.0
I have found same questions here, but suggestions like use new version of qiime or appropriate classifier dint work for me.
I used every silva classifier from here https://resources.qiime2.org/
Still no results
Is this have something to do with the scikit-learn installed (1.4.2) that is a piece of python?
I will appreciate any ideas
Thank you