Hi Gaël,
I know virtually nothing about string/unicode handling and compression, but I
do know what I want to work... I'm happy to open a PR and add the (failing)
tests, but someone with more expertise in those fields would have to actually
get this working or at least provide me with extens
> They all sound related to the Py3k handling of Unicode, in which case I'm
> guessing a search should find cases of this issue elsewhere. I'm glad joblib
> worked in the end, but maybe it's worth leaving an issue on the joblib project
> so that it could be appropriately tested or documented.
job
They all sound related to the Py3k handling of Unicode, in which case I'm
guessing a search should find cases of this issue elsewhere. I'm glad
joblib worked in the end, but maybe it's worth leaving an issue on the
joblib project so that it could be appropriately tested or documented.
On 23 Januar
Hi everyone,
Using joblib with compress=0 worked! Is it a joblib bug that compress=3 is not
portable?
Joel, here are the tracebacks from standard Python pickles of increasing
protocols (0, 1, 2), saved in Python 2 and attempting to load them in Python 3:
--
Joel, *sorry*, I should probably have mentioned this earlier:
joblib.dump takes a "compress" kwarg, which I used, probably 3 as recommended
by the docstring, so that I wouldn't have a bajillion files representing my RF.
So the zipping error makes perfect sense, except that I wouldn't expect g
Could you provide the traceback when using pickle? The joblib error is
about zipping, which should not be applicable there...
On 23 January 2015 at 13:30, Juan Nunez-Iglesias wrote:
> Nope, the Py2 RF was saved with joblib!
>
> The SO response might work for standard pickling though, I'll give t
Nope, the Py2 RF was saved with joblib!
The SO response might work for standard pickling though, I'll give that a try,
thanks!
On Fri, Jan 23, 2015 at 11:18 AM, Sebastian Raschka
wrote:
> Sorry, I think my previous message was a little bit ambiguous.
> What I would try is:
> 1) Unpickle the
Sorry, I think my previous message was a little bit ambiguous.
What I would try is:
1) Unpickle the original pickle file in Python 2
2) Pickle it via joblib
3) Load it in Python 3
(I think you only did step 3), right? Sorry for the confusion).
I also just saw a related SO post that might be ver
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 T
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 impo
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
11 matches
Mail list logo
