I am having some difficulty in training the the feature classifier on the UNITE database and i am getting Error (Unable to allocate................) when i checked it, it shows this happens due to low RAM.. unfortunately i don't have higher RAM level. if possible can anyone help me with a trained classifier using a relatively recent version of the dynamic UNITE database.
thanks in advance!
hoping for your positive response
You may have to install an older version of Qiime inside of a seperate conda environment to run this older pre-trained classifier. Let us know if you have any questions!
thanks for the reply @colinbrislawn sir.. actually i am running my data in Virtual Box. is it fine if i downloaded the older version.. and i have a another query (the error which i have got is like *unable to allocate 3.26GiB for an array with the shape (20000, 20589) and data type int64 *) is there any other way that i can solve this issue.. currently my system size is about 8gb ram, even in my virtual box i have increased till 5 gb ram... even though i got the same error... if possible help me please.
As you have discovered, some of the steps require more ram. Do you have access to a computer with more memory, perhaps a university server that you could use to run these memory intensive steps?
Hello Sir!
No sir, i don't have enough ram and its very hard to arrange it.. if there is any other solution kindly help me please..
thanks for the response sir
Greetings of the Day!
Hope all are doing good
For the past four days i was trying to run UNITE Classifier. But due to Memory issues i couldn't able to run it. if possible can anyone help me by running the classifier for me.. because i have tried till 16GB RAM. even though i couldn't able to get the results. Its really hard for me to arrange the higher variant. anyone please help me.
Hoping for the positive response...
Thanks in advance rep-seqs.qza (23.0 KB) ref-taxonomy.qza (1.3 MB)