Could someone help me determine what these fields represent? 0.001 0 48 1108391722 H*M:hpb 0.001 0 48 1108391722 H*M:hpbrm 0.001 0 55 1108391737 H*r:sk:PUBLIC. 0.001 0 56 1108391737 H*F:U*mthomason 0.001 0 57 1108391737 H*F:D*halfpricebooks.com 0.001 0 57 1108391737 H*r:66.250.20
0.013 0 4 1108391715 awfully 0.013 0 4 1108391715 dudes 0.013 0 4 1108391715 hostile 0.013 0 4 1108391722 Someplace 0.013 0 4 1108391737 drinker 0.993 7 0 1107371048 attn 0.993 7 0 1107442179 H*p:D*dartmail.net 0.993 7 0 1107442194 Levitra 0.993 7 0 1107527893 leveraging 1.000 166 0 1108588775 ball 1.000 166 0 1108588775 casualties 1.000 166 0 1108588775 decisive 1.000 166 0 1108588775 impossible 1.000 166 0 1108588775 injuries 1.000 166 0 1108588775 lies I assume the far left field is the score bayes will apply? Middle maybe the number of time this token has been encountered in the learning process (but that doesn't explain the 0's), I don't know the next field, and maybe the date and then the token? Could someone clarify this a bit for me? Thanks, Kyle Reynolds 972-731-4731 [EMAIL PROTECTED]
