Thanks a lot Ted!  I haven't had too much time to investigate.  I appreciate 
the patch.

Chris

On Jan 23, 2011, at 10:38 PM, Ted Dunning wrote:

> Chris,
> 
> This looks better:
> 
> 0.58    189545.00       63692.00        3551.55 1.0000002e-08
> 1.0007058e-08   3000    -1.447  69.79   none
> body=gun        1.3     talk.politics.guns      16.0    -0.2414000554631249
>    17.0    -0.129711508160663
> body=windows    1.2     comp.os.ms-windows.misc 3.0     -0.19417418927173208
>   14.0    -0.16734214222498917
> body=sale       1.2     misc.forsale    1.0     -0.141236520301033      4.0
>    -0.13078372920403203
> body=car        1.2     rec.autos       13.0    -0.15182947211484465    10.0
>   -0.12953193026882154
> body=bike       1.1     rec.motorcycles 6.0     -0.1188138958409118     5.0
>    -0.10294447109840156
> body=x  1.1     comp.windows.x  0.0     0.16208435089363293     13.0
> -0.1515644646592169
> body=israel     1.0     talk.politics.mideast   15.0    -0.14829080862283103
>   18.0    -0.12856657991660764
> body=space      1.0     sci.space       4.0     -0.13411179253228006    15.0
>   -0.13059284295356896
> body=mac        0.9     comp.sys.mac.hardware   11.0    -0.15080978041551327
>   4.0     -0.08952300323041343
> body=apple      0.9     comp.sys.mac.hardware   2.0     -0.08917827214495963
>   12.0    -0.08678780456560442
> body=god        0.9     soc.religion.christian  16.0    -0.31170158967758943
>   12.0    -0.23551822033335715
> 
> 
> There was a bug introduced into the ModelDissector that caused it to show
> you the least interesting features rather than the most interesting.
> 
> Patch is forthcoming.
> 
> On Tue, Dec 28, 2010 at 1:05 PM, Chris Schilling
> <[email protected]>wrote:
> 
>> Hey Ted,
>> 
>> I went back in time a bit and found a version which returned reasonable
>> looking results (at least results which are comparable to those in the
>> book).  I ran 'svnversion .' and the older (apparently working version)
>> returned 1004406M whereas the trunk version I am using is 1050223M.  In any
>> case, the files in core/o.a.m.classifier.sgd are dated October 4th.  It
>> looks like between the 4th of Oct and December 7th there was some
>> refactoring going on.  For instance, the encoders were moved to the vectors
>> package (as opposed to the vectorizer.encoders package).  I spent a little
>> time comparing diffs in the core sgd package but not enough time to discover
>> what could be causing this behavior.
>> 
>> I hope this helps.
>> Chris
>> 
>> 
>> 
>> On Dec 20, 2010, at 4:25 PM, Ted Dunning wrote:
>> 
>>> Yeah... it looks like I really need to jump into this.  These results are
>>> not right.
>>> 
>>> On Mon, Dec 20, 2010 at 2:11 PM, Chris Schilling <[email protected]>
>> wrote:
>>> 
>>>> Hey Ted,
>>>> 
>>>> Just FYI,
>>>> 
>>>> I changed the Weight subclass of the ModelDissector to sort by true
>> value
>>>> (rather than absolute value) and reran over the 20 newsgroups data.
>> Here
>>>> are the results of the dissector function:
>>>> 
>>>> body=rt 0.042   comp.sys.mac.hardware
>>>> body=computer   0.039   sci.electronics
>>>> body=seem       0.035   talk.religion.misc
>>>> body=mike       0.035   misc.forsale
>>>> body=windows    0.034   misc.forsale
>>>> body=just       0.032   sci.crypt
>>>> body=supports   0.032   talk.politics.mideast
>>>> body=x  0.032   talk.religion.misc
>>>> body=do 0.029   rec.motorcycles
>>>> body=university 0.028   comp.sys.mac.hardware
>>>> body=slagle     0.028   rec.sport.hockey
>>>> 
>>>> I prefer the results from MIA :)  Anyway, I know you are busy.  If there
>> is
>>>> anything I can do to help, let me know.  Still getting familiar with the
>>>> code, but could help out with some guidance.
>>>> 
>>>> Thanks a lot,
>>>> Chris
>>>> 
>>>> On Dec 17, 2010, at 7:37 PM, Ted Dunning wrote:
>>>> 
>>>>> Hard to say what changed just off hand.  I was tweaking the SGD code
>>>> pretty
>>>>> regularly as I learned from the results users were getting.  I should
>>>> look
>>>>> at the history to review what happened... some changes may not have
>> been
>>>>> good.
>>>>> 
>>>>> On Fri, Dec 17, 2010 at 5:28 PM, Chris Schilling
>>>>> <[email protected]>wrote:
>>>>> 
>>>>>> Thanks for the answers Ted.  Ill take a look inside the dissector.  I
>>>> was
>>>>>> just wondering because the results are quite a bit different from
>> whats
>>>> in
>>>>>> the book - Listing 15.9.  Here are those results (where words have
>>>> weights >
>>>>>> 1).
>>>>>> 
>>>>>> body=space 2.1 sci.space
>>>>>> body=sale 1.9 misc.forsale
>>>>>> body=car 1.9 rec.autos
>>>>>> body=windows 1.8 comp.os.ms-windows.misc
>>>>>> body=mac 1.7 comp.sys.mac.hardware
>>>>>> body=bike 1.7 rec.motorcycles
>>>>>> body=apple 1.5 comp.sys.mac.hardware
>>>>>> body=gun 1.5 talk.politics.guns
>>>>>> body=baseball 1.5 rec.sport.baseball
>>>>>> body=graphics 1.5 comp.graphics
>>>>>> 
>>>>>> 
>>>>>> I guess I mostly want to understand what changed.  Again, Ill take a
>>>> look
>>>>>> at the dissector, because the results of the training look pretty
>> good.
>>>>>> 
>>>> 
>>>> 
>> 
>> 

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