# Error using Naive Bayes classifiers trained on Silva 132 99% OTUs full-length sequences
**URL:** https://forum.qiime2.org/t/error-using-naive-bayes-classifiers-trained-on-silva-132-99-otus-full-length-sequences/6634
**Category:** User Support
**Created:** [October 26, 2018, 1:05am UTC](https://forum.qiime2.org/t/error-using-naive-bayes-classifiers-trained-on-silva-132-99-otus-full-length-sequences/6634 "2018-10-26T01:05:23Z")
**Posts on this page:** 4
**Page:** 1
### Author:  [@Daniel\_Tichy](https://forum.qiime2.org/u/Daniel_Tichy)
#### Post date: [October 26, 2018, 1:05am UTC](https://forum.qiime2.org/t/error-using-naive-bayes-classifiers-trained-on-silva-132-99-otus-full-length-sequences/6634/1 "2018-10-26T01:05:23Z")
Hi, I have to thank the developers of this software, It has been really helpful, but I have this problem trying to do a Taxonomy classification and taxonomic analyses using the Naive Bayes classifiers trained on Silva 132 99% OTUs full-length sequences.
I tried this command line
qiime feature-classifier classify-sklearn
--i-classifier silva-132-99-nb-classifier.qza
--i-reads rep-seqs.qza
--o-classification taxonomy2.qza
And this is the error located in the log file:
Traceback (most recent call last):
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/site-packages/q2cli/commands.py", line 274, in **call**
results = action(\*\*arguments)
File "", line 2, in classify\_sklearn
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/site-packages/qiime2/sdk/action.py", line 225, in bound\_callable
spec.view\_type, recorder)
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/site-packages/qiime2/sdk/result.py", line 266, in \_view
result = transformation(self.\_archiver.data\_dir)
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/site-packages/qiime2/core/transform.py", line 70, in transformation
new\_view = transformer(view)
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/site-packages/q2\_feature\_classifier/\_taxonomic\_classifier.py", line 72, in \_1
pipeline = joblib.load(os.path.join(dirname, 'sklearn\_pipeline.pkl'))
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/numpy\_pickle.py", line 578, in load
obj = \_unpickle(fobj, filename, mmap\_mode)
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/numpy\_pickle.py", line 508, in \_unpickle
obj = unpickler.load()
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/pickle.py", line 1043, in load
dispatchkey[0]
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/numpy\_pickle.py", line 341, in load\_build
self.stack.append(array\_wrapper.read(self))
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/numpy\_pickle.py", line 184, in read
array = self.read\_array(unpickler)
File "/home/fagolab/anaconda2/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/numpy\_pickle.py", line 130, in read\_array
array = unpickler.np.empty(count, dtype=self.dtype)
MemoryError
I did not have this problem using the Naive Bayes classifiers trained on Greengenes 13\_8 99% OTUs from 515F/806R region of sequences.
Did I just run out of memory for this analysis? If that is the case I read in other topics that you can reduce the number of "jobs" or "reads per batch", Do you think that I can do this analysis with a computer with 4 Gb of RAM?
Thank you in advance.
---
### Author:  [@ebolyen](https://forum.qiime2.org/u/ebolyen)
#### Post date: [October 26, 2018, 1:18am UTC](https://forum.qiime2.org/t/error-using-naive-bayes-classifiers-trained-on-silva-132-99-otus-full-length-sequences/6634/2 "2018-10-26T01:18:40Z")
Welcome @Daniel_Tichy,
> [@Daniel\_Tichy](#):
>
> Did I just run out of memory for this analysis?
Yep!
> [@Daniel\_Tichy](#):
>
> If that is the case I read in other topics that you can reduce the number of “jobs” or “reads per batch”, Do you think that I can do this analysis with a computer with 4 Gb of RAM?
By default, this step runs only a single job (you have to ask for more if you want more), but you _can_ tune the reads-per-batch to something very low (like a few thousand, the default is 500k). Keep in mind that 4Gb just isn't very much to work with, so it could take a very long time (if you're able to do with without a MemoryError at all). Silva definitely requires more memory than Greengenes in general, so this is pretty typical to see 🙂
Hopefully that helps, good luck!
---
### Author:  [@Daniel\_Tichy](https://forum.qiime2.org/u/Daniel_Tichy)
#### Post date: [October 26, 2018, 2:07am UTC](https://forum.qiime2.org/t/error-using-naive-bayes-classifiers-trained-on-silva-132-99-otus-full-length-sequences/6634/3 "2018-10-26T02:07:28Z")
Thanks Evan, Thats what I tought, time to ask for a better machine to my boss, I have to do like 200 of these analysis hahahaha.
---
### Author:  [@system](https://forum.qiime2.org/u/system)
#### Post date: [November 26, 2018, 8:07am UTC](https://forum.qiime2.org/t/error-using-naive-bayes-classifiers-trained-on-silva-132-99-otus-full-length-sequences/6634/4 "2018-11-26T08:07:28Z")
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