Help with Error in Taxonomy Classifier

[Vik]

Hi, I am trying to feature classifier, more specifically :“qiime feature-classifier classify-sklearn” and it keeps saying that an error is coming up. I am using silva 132 classifier files and I’ve pasted the error files below.
I could really use any help that I can get.

“Traceback (most recent call last):
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/q2cli/commands.py”, line 274, in call
results = action(**arguments)
File “”, line 2, in classify_sklearn
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/qiime2/sdk/action.py”, line 226, in bound_callable
spec.view_type, recorder)
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/qiime2/sdk/result.py”, line 266, in _view
result = transformation(self._archiver.data_dir)
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/qiime2/core/transform.py”, line 70, in transformation
new_view = transformer(view)
File “/home/qiime2/miniconda/envs/qiime2-2018.6/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/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py”, line 578, in load
obj = _unpickle(fobj, filename, mmap_mode)
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py”, line 508, in _unpickle
obj = unpickler.load()
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/pickle.py”, line 1043, in load
dispatchkey[0]
File “/home/qiime2/miniconda/envs/qiime2-2018.6/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/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py”, line 184, in read
array = self.read_array(unpickler)
File “/home/qiime2/miniconda/envs/qiime2-2018.6/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”

and

“Traceback (most recent call last):
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/q2cli/commands.py”, line 274, in call
results = action(**arguments)
File “”, line 2, in classify_sklearn
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/qiime2/sdk/action.py”, line 226, in bound_callable
spec.view_type, recorder)
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/qiime2/sdk/result.py”, line 266, in _view
result = transformation(self._archiver.data_dir)
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/qiime2/core/transform.py”, line 70, in transformation
new_view = transformer(view)
File “/home/qiime2/miniconda/envs/qiime2-2018.6/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/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py”, line 578, in load
obj = _unpickle(fobj, filename, mmap_mode)
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py”, line 508, in _unpickle
obj = unpickler.load()
File “/home/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/pickle.py”, line 1043, in load
dispatchkey[0]
File “/home/qiime2/miniconda/envs/qiime2-2018.6/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/qiime2/miniconda/envs/qiime2-2018.6/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py”, line 184, in read
array = self.read_array(unpickler)
File “/home/qiime2/miniconda/envs/qiime2-2018.6/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”

[colinbrislawn (Colin J Brislawn)]

Hi there!

Thanks for posting your full error message. Often when a “MemoryError” happens, it’s because the computer does not have enough RAM. How much RAM or Memory does your computer or VM have?

Colin

[Vik]

The VM I used has 8GB of ram. But what i failed to mention was this was from the error log file. On the terminal itself, it says plugin error from feature-classifier.

[thermokarst]

Hey there @Vik ----

8GB of memory is likely not enough for this combination of SILVA and your sequences — your best bet is to run this step somewhere with more available RAM - perhaps an institutional cluster? You could also try with another reference DB like Greengenes (which is smaller, less memory-intensive), if applicable.