On 01/04/2013 05:51 PM, paul.czodrow...@merckgroup.com wrote:
Dear Andreas,
thanks for your reply.
Strangely enough, I'm getting different results after loading in the
model.
Below are my code snippets. The data source is of course identical.
I will investigate it on that issue further, but
Dear Andreas,
thanks for your reply.
Strangely enough, I'm getting different results after loading in the
model.
Below are my code snippets. The data source is of course identical.
I will investigate it on that issue further, but maybe someone already
sees a bug in my code.
Cheers & Thanks,
Hi Paul.
Doing the documentation is in the issue tracker, but no-one wrote it yet :-/
The unpickled model should be trained, i.e. it is not necessary to
re-run fit.
Running fit again will just forget the old model.
Hth,
Andy
On 01/04/2013 05:19 PM, paul.czodrow...@merckgroup.com wrote:
Dear
Dear SciKitters,
there is one thing I don't understand when cPickling a model. Here is my
code to pickle a model:
"
clf_kNN = KNeighborsClassifier()
clf_kNN = clf_kNN.fit(dataDescrs_array,dataActs_array)
cPickle.dump(clf_kNN,file("clf_kNN.descr.pk","wb+"))
"
And this is the way to ex