On Mon, May 2, 2011 at 12:39 AM, Tim Snyder wrote:
> ...
> In your options a through c - I am not sure I understand the difference
> between (a) and (c). Is (a) the current state (let it fail), and (c) a
> small fix to let things complete, but understand that it is probably not
> valuable?
>
Th
r() );
>> }
>>
>>
>> private Vector encodeFeatureVector( Map codes, int
>> actual )
>> {
>> Vector v = new RandomAccessSparseVector( FEATURES );
>>
>> bias.addToVector( "", 1, v );
>>
>> for( String code : codes.keySet() )
>>
r() );
>> }
>>
>>
>> private Vector encodeFeatureVector( Map codes, int
>> actual )
>> {
>> Vector v = new RandomAccessSparseVector( FEATURES );
>>
>> bias.addToVector( "", 1, v );
>>
>> for( String code : codes.keySet() )
>>
r() );
>> }
>>
>>
>> private Vector encodeFeatureVector( Map codes, int
>> actual )
>> {
>>Vector v = new RandomAccessSparseVector( FEATURES );
>>
>>bias.addToVector( "", 1, v );
>>
>>for( String code : codes.keySet() )
>>{
>>
gt;Map> traceDictionary = Maps.newTreeMap();
>ModelDissector md = new ModelDissector();
>
>encoder.setTraceDictionary( traceDictionary );
>bias.setTraceDictionary( traceDictionary );
>
>int actual = msgs.intern( msgId );
>
>traceDictionary.clear();
>Vector v = encodeFea
\t%s\t%.1f\t%s\n",
w.getFeature(), w.getWeight(), w.getCategory( 1 ), w.getWeight( 1 ),
w.getCategory( 2 ), w.getWeight( 2 ) );
}
}
}
The End.
Tim
Original Message
Subject: Re: AdaptiveLogisticRegression.close()
ArrayIndexOutOfBoundsException
From: Ted Dunning
Date: Sun, May
Can you put your code on github?
There is a detail that slipped somewhere and I can't guess where it is.
Your constructor is correct for a binary classifier, but I can't say much
else.
How much data, btw, did you pour in?
On Sun, May 1, 2011 at 3:18 AM, Tim Snyder wrote:
> I am currently usin
