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Scalable machine learning libraries
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.mahout.vectorizer;
import org.apache.hadoop.conf.Configuration;
/**
* The config for a Vectorizer. Not all implementations need use all variables.
*/
public final class VectorizerConfig {
private Configuration conf;
private String analyzerClassName;
private String encoderName;
private boolean sequentialAccess;
private boolean namedVectors;
private int cardinality;
private String encoderClass;
private String tfDirName;
private int minSupport;
private int maxNGramSize;
private float minLLRValue;
private float normPower;
private boolean logNormalize;
private int numReducers;
private int chunkSizeInMegabytes;
public VectorizerConfig(Configuration conf,
String analyzerClassName,
String encoderClass,
String encoderName,
boolean sequentialAccess,
boolean namedVectors,
int cardinality) {
this.conf = conf;
this.analyzerClassName = analyzerClassName;
this.encoderClass = encoderClass;
this.encoderName = encoderName;
this.sequentialAccess = sequentialAccess;
this.namedVectors = namedVectors;
this.cardinality = cardinality;
}
public Configuration getConf() {
return conf;
}
public void setConf(Configuration conf) {
this.conf = conf;
}
public String getAnalyzerClassName() {
return analyzerClassName;
}
public void setAnalyzerClassName(String analyzerClassName) {
this.analyzerClassName = analyzerClassName;
}
public String getEncoderName() {
return encoderName;
}
public void setEncoderName(String encoderName) {
this.encoderName = encoderName;
}
public boolean isSequentialAccess() {
return sequentialAccess;
}
public void setSequentialAccess(boolean sequentialAccess) {
this.sequentialAccess = sequentialAccess;
}
public String getTfDirName() {
return tfDirName;
}
public void setTfDirName(String tfDirName) {
this.tfDirName = tfDirName;
}
public boolean isNamedVectors() {
return namedVectors;
}
public void setNamedVectors(boolean namedVectors) {
this.namedVectors = namedVectors;
}
public int getCardinality() {
return cardinality;
}
public void setCardinality(int cardinality) {
this.cardinality = cardinality;
}
public String getEncoderClass() {
return encoderClass;
}
public void setEncoderClass(String encoderClass) {
this.encoderClass = encoderClass;
}
public int getMinSupport() {
return minSupport;
}
public void setMinSupport(int minSupport) {
this.minSupport = minSupport;
}
public int getMaxNGramSize() {
return maxNGramSize;
}
public void setMaxNGramSize(int maxNGramSize) {
this.maxNGramSize = maxNGramSize;
}
public float getMinLLRValue() {
return minLLRValue;
}
public void setMinLLRValue(float minLLRValue) {
this.minLLRValue = minLLRValue;
}
public float getNormPower() {
return normPower;
}
public void setNormPower(float normPower) {
this.normPower = normPower;
}
public boolean isLogNormalize() {
return logNormalize;
}
public void setLogNormalize(boolean logNormalize) {
this.logNormalize = logNormalize;
}
public int getNumReducers() {
return numReducers;
}
public void setNumReducers(int numReducers) {
this.numReducers = numReducers;
}
public int getChunkSizeInMegabytes() {
return chunkSizeInMegabytes;
}
public void setChunkSizeInMegabytes(int chunkSizeInMegabytes) {
this.chunkSizeInMegabytes = chunkSizeInMegabytes;
}
}
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