oh you're right, bad example. so it *is* a dangerous function after all ;-)
On Sat, Oct 15, 2011 at 9:26 PM, wrote:
> On Sat, Oct 15, 2011 at 4:12 PM, Pietro Berkes wrote:
>> On Sat, Oct 15, 2011 at 9:07 PM, wrote:
>>> On Sat, Oct 15, 2011 at 3:57 PM, Pietro Berkes wrote:
I wish there
On Sat, Oct 15, 2011 at 4:12 PM, Pietro Berkes wrote:
> On Sat, Oct 15, 2011 at 9:07 PM, wrote:
>> On Sat, Oct 15, 2011 at 3:57 PM, Pietro Berkes wrote:
>>> I wish there was a native numpy function for this case, which is
>>> fairly common in information theory quantities.
>>> As a workaround,
On Sat, Oct 15, 2011 at 9:07 PM, wrote:
> On Sat, Oct 15, 2011 at 3:57 PM, Pietro Berkes wrote:
>> I wish there was a native numpy function for this case, which is
>> fairly common in information theory quantities.
>> As a workaround, I sometimes use these reasonably efficient utility
>> functi
On Sat, Oct 15, 2011 at 3:57 PM, Pietro Berkes wrote:
> I wish there was a native numpy function for this case, which is
> fairly common in information theory quantities.
> As a workaround, I sometimes use these reasonably efficient utility functions:
>
> def log0(x):
> """Robust 'entropy' loga
I wish there was a native numpy function for this case, which is
fairly common in information theory quantities.
As a workaround, I sometimes use these reasonably efficient utility functions:
def log0(x):
"""Robust 'entropy' logarithm: log(0.) = 0."""
return np.where(x==0., 0., np.log(x))
Hello,
I've begun work on a python wrapper for crfsuite (
http://www.chokkan.org/software/crfsuite/ ) with a mind toward future
inclusion in scikit-learn.
It still needs a lot of work, but you can take a look at the progress here:
http://github.com/jakevdp/pyCRFsuite
I'd appreciate any feedback
