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correct spelling mistake, removed unused import, fixed two javadoc @param mismatches 

git-svn-id: https://svn.apache.org/repos/asf/lucene/java/trunk@150024 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Erik Hatcher 2003-09-13 23:44:48 +00:00
parent e676d0f3d4
commit 165ee0d2c0
1 changed files with 9 additions and 10 deletions
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19
src/java/org/apache/lucene/search/Similarity.java
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@ -60,7 +60,6 @@ import java.util.Vector;
import org.apache.lucene.index.Term;
import org.apache.lucene.index.IndexWriter; // for javadoc
import org.apache.lucene.index.IndexReader; // for javadoc
import org.apache.lucene.document.Field; // for javadoc
@ -86,7 +85,7 @@ import org.apache.lucene.document.Field; // for javadoc
* {@link #queryNorm(float) queryNorm}(q)
* </td>
* </tr>
* <tr>
* <tr>
* <td valign="top" align="right">
* <small>t in q</small>
* </td>
@ -173,7 +172,7 @@ public abstract class Similarity {
*/
public abstract float queryNorm(float sumOfSquaredWeights);
/** Encodes a normalization factor for storage in an index.
/** Encodes a normalization factor for storage in an index.
*
* <p>The encoding uses a five-bit exponent and three-bit mantissa, thus
* representing values from around 7x10^9 to 2x10^-9 with about one
@ -197,7 +196,7 @@ public abstract class Similarity {
int bits = ((exponent+(63-15)) << 24) | (mantissa << 21);
return Float.intBitsToFloat(bits);
}
private static byte floatToByte(float f) {
if (f < 0.0f) // round negatives up to zero
f = 0.0f;
@ -229,13 +228,13 @@ public abstract class Similarity {
* form the initial score for a document.
*
* <p>Terms and phrases repeated in a document indicate the topic of the
* document, so implemenations of this method usually return larger values
* document, so implementations of this method usually return larger values
* when <code>freq</code> is large, and smaller values when <code>freq</code>
* is small.
*
* <p>The default implementation calls {@link #tf(float)}.
*
* @param tf the frequency of a term within a document
* @param freq the frequency of a term within a document
* @return a score factor based on a term's within-document frequency
*/
public float tf(int freq) {
@ -247,7 +246,7 @@ public abstract class Similarity {
* the frequency that is passed to {@link #tf(float)}.
*
* <p>A phrase match with a small edit distance to a document passage more
* closely matches the document, so implemenations of this method usually
* closely matches the document, so implementations of this method usually
* return larger values when the edit distance is small and smaller values
* when it is large.
*
@ -267,11 +266,11 @@ public abstract class Similarity {
* when <code>freq</code> is large, and smaller values when <code>freq</code>
* is small.
*
* @param tf the frequency of a term within a document
* @param freq the frequency of a term within a document
* @return a score factor based on a term's within-document frequency
*/
public abstract float tf(float freq);
/** Computes a score factor for a simple term.
*
* <p>The default implementation is:<pre>
@ -322,7 +321,7 @@ public abstract class Similarity {
* @return a score factor based on the term's document frequency
*/
protected abstract float idf(int docFreq, int numDocs);
/** Computes a score factor based on the fraction of all query terms that a
* document contains. This value is multiplied into scores.
*