Hi Sebastian,
Thanks for the response, but actually joblib doesn't work either:
In [1]: from sklearn.externals import joblib
In [2]: rf = joblib.load('rf-1.joblib')
---------------------------------------------------------------------------
error Traceback (most recent call last)
<ipython-input-3-2c47f0ec1d5b> in <module>()
----> 1 rf = joblib.load('rf-1.joblib')
/Users/nuneziglesiasj/anaconda/envs/py3k-gala/lib/python3.3/site-packages/sklearn/externals/joblib/numpy_pickle.py
in load(filename, mmap_mode)
417 'ignoring mmap_mode "%(mmap_mode)s" flag
passed'
418 % locals(), Warning, stacklevel=2)
--> 419 unpickler = ZipNumpyUnpickler(filename,
file_handle=file_handle)
420 else:
421 unpickler = NumpyUnpickler(filename,
file_handle=file_handle,
/Users/nuneziglesiasj/anaconda/envs/py3k-gala/lib/python3.3/site-packages/sklearn/externals/joblib/numpy_pickle.py
in __init__(self, filename, file_handle)
306 NumpyUnpickler.__init__(self, filename,
307 file_handle,
--> 308 mmap_mode=None)
309
310 def _open_pickle(self, file_handle):
/Users/nuneziglesiasj/anaconda/envs/py3k-gala/lib/python3.3/site-packages/sklearn/externals/joblib/numpy_pickle.py
in __init__(self, filename, file_handle, mmap_mode)
264 self._dirname = os.path.dirname(filename)
265 self.mmap_mode = mmap_mode
--> 266 self.file_handle = self._open_pickle(file_handle)
267 Unpickler.__init__(self, self.file_handle)
268 try:
/Users/nuneziglesiasj/anaconda/envs/py3k-gala/lib/python3.3/site-packages/sklearn/externals/joblib/numpy_pickle.py
in _open_pickle(self, file_handle)
309
310 def _open_pickle(self, file_handle):
--> 311 return BytesIO(read_zfile(file_handle))
312
313
/Users/nuneziglesiasj/anaconda/envs/py3k-gala/lib/python3.3/site-packages/sklearn/externals/joblib/numpy_pickle.py
in read_zfile(file_handle)
66 # We use the known length of the data to tell Zlib the size of the
67 # buffer to allocate.
---> 68 data = zlib.decompress(file_handle.read(), 15, length)
69 assert len(data) == length, (
70 "Incorrect data length while decompressing %s."
error: Error -3 while decompressing data: incorrect header check
The very same commands work fine in Py2:
In [1]: from sklearn.externals import joblib
In [2]: rf1 = joblib.load('rf-1.joblib')
In [3]:
Is this unexpected?
On Fri, Jan 23, 2015 at 1:57 AM, Sebastian Raschka <se.rasc...@gmail.com>
wrote:
> Hi, Juan,
> It's been some time, but I remember that I had similar issues. I think it
> has to do with the numpy arrays that specifically cause problems in pickle.
> (http://bugs.python.org/issue6784)
> You could try to use joblib (which should also be more efficient):
>>>> from sklearn.externals import joblib
>>>> joblib.dump(clf, 'filename.pkl')
>>>> clf = joblib.load('filename.pkl')
> (http://scikit-learn.org/stable/modules/model_persistence.html)
>
> Best,
> Sebastian
>> On Jan 22, 2015, at 8:50 AM, jni.s...@gmail.com wrote:
>>
>> Hi all,
>>
>> I'm working on a project that depends on sklearn. I've been up test coverage
>> (which includes saving a RandomForest, so far using joblib serialization),
>> and now I wanted to make the project Python 3-compatible. However, the final
>> roadblock is the sharing of RF objects: I can't load the Python 2-serialized
>> RFs with Python 3 tests. Of course, the test outcome depends on the exact RF
>> that was created a while back. Is there any way around this?
>>
>> Thanks!
>>
>> Juan.
>>
>>
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New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
GigeNET is offering a free month of service with a new server in Ashburn.
Choose from 2 high performing configs, both with 100TB of bandwidth.
Higher redundancy.Lower latency.Increased capacity.Completely compliant.
http://p.sf.net/sfu/gigenet
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