| Chunk |
|---|
| Conflicting content |
|---|
// compute score via scoring model
float score = ((Bm25) scoringModel).computeDocumentWeight(tf, df, docLen);
<<<<<<< HEAD
sLogger.debug(eTerm+" "+tf+" "+df+" "+score);
=======
// sLogger.debug(eTerm+" "+tf+" "+df+" "+score);
>>>>>>> 16f3d32ecc6a58948682625bcbcafc42085977ba
if(score>0){
v.put(eTerm, score);
if(isNormalize){ |
| Solution content |
|---|
// compute score via scoring model
float score = ((Bm25) scoringModel).computeDocumentWeight(tf, df, docLen);
<<<<<<< HEAD
sLogger.debug(eTerm+" "+tf+" "+df+" "+score);
=======
// sLogger.debug(eTerm+" "+tf+" "+df+" "+score);
>>>>>>> sentence_extraction
if(score>0){
v.put(eTerm, score);
if(isNormalize){ |
| File |
|---|
| CLIRUtils.java |
| Developer's decision |
|---|
| Manual |
| Kind of conflict |
|---|
| Comment |
| Method invocation |
| Chunk |
|---|
| Conflicting content |
|---|
if(sLogger == null){
sLogger = logger;
}
<<<<<<< HEAD
=======
>>>>>>> 16f3d32ecc6a58948682625bcbcafc42085977ba
HMapSFW v = new HMapSFW();
float normalization=0;
for(edu.umd.cloud9.util.map.MapKI.Entry |
| Solution content |
|---|
if(sLogger == null){
sLogger = logger;
}
<<<<<<< HEAD
=======
>>>>>>> sentence_extraction
HMapSFW v = new HMapSFW();
float normalization=0;
for(edu.umd.cloud9.util.map.MapKI.Entry |
| File |
|---|
| CLIRUtils.java |
| Developer's decision |
|---|
| Manual |
| Kind of conflict |
|---|
| Blank |
| Chunk |
|---|
| Conflicting content |
|---|
String eTerm = entry.getKey();
int tf = entry.getValue();
int df = dfTable.getDF(eTerm);
<<<<<<< HEAD
// compute score via scoring model
float score = ((Bm25) scoringModel).computeDocumentWeight(tf, df, docLen);
sLogger.debug(eTerm+" "+tf+" "+df+" "+score);
=======
// compute score via scoring model
float score = ((Bm25) scoringModel).computeDocumentWeight(tf, df, docLen);
// sLogger.debug(eTerm+" "+tf+" "+df+" "+score);
>>>>>>> 16f3d32ecc6a58948682625bcbcafc42085977ba
if(score>0){
v.put(eTerm, score);
if(isNormalize){ |
| Solution content |
|---|
String eTerm = entry.getKey();
int tf = entry.getValue();
int df = dfTable.getDF(eTerm);
<<<<<<< HEAD
// compute score via scoring model
float score = ((Bm25) scoringModel).computeDocumentWeight(tf, df, docLen);
sLogger.debug(eTerm+" "+tf+" "+df+" "+score);
=======
// compute score via scoring model
float score = ((Bm25) scoringModel).computeDocumentWeight(tf, df, docLen);
// sLogger.debug(eTerm+" "+tf+" "+df+" "+score);
>>>>>>> sentence_extraction
if(score>0){
v.put(eTerm, score);
if(isNormalize){ |
| File |
|---|
| CLIRUtils.java |
| Developer's decision |
|---|
| Manual |
| Kind of conflict |
|---|
| Comment |
| Method invocation |
| Variable |