Example usage for org.apache.hadoop.mapreduce Reducer subclass-usage

List of usage examples for org.apache.hadoop.mapreduce Reducer subclass-usage

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Introduction

In this page you can find the example usage for org.apache.hadoop.mapreduce Reducer subclass-usage.

Usage

From source file org.ankus.mapreduce.algorithms.correlation.booleanset.BooleanSetReducer.java

/**
 * BooleanSetReducer
 * @desc
 *      Here's an version of the similarity coefficient and distance calculation.
 *      1. Dice coefficient 2. Jaccard coefficient 3. Hamming distance
 *

From source file org.ankus.mapreduce.algorithms.correlation.booleanset.CalculationBooleanSetReducer.java

/**
 * CalculationBooleanSetReducer
 * @desc
 *      Here's an version of the similarity coefficient and distance calculation.
 *      1. Dice coefficient 2. Jaccard coefficient 3. Hamming distance
 *

From source file org.ankus.mapreduce.algorithms.correlation.numericset.CalculationNumericSetReducer.java

/**
 * CalculationNumericSetReducer
 * @desc
 *      Here's an version of the similarity coefficient and distance calculation.
 *      1. Cosine coefficient 2. Pearson coefficient 3. Tanimoto coefficient
 *      4. Manhattan distance 5. Uclidean distance

From source file org.ankus.mapreduce.algorithms.correlation.numericset.NumericSetReducer.java

/**
 * NumericSetReducer
 * @desc
 *      Here's an version of the similarity coefficient and distance calculation.
 *      1. Cosine coefficient 2. Pearson coefficient 3. Tanimoto coefficient
 *      4. Manhattan distance 5. Uclidean distance

From source file org.ankus.mapreduce.algorithms.correlation.stringset.CalculationStringSetReducer.java

/**
 * CalculationStringSetReducer
 * @desc
 *      Here's an version of the similarity coefficient and distance calculation.
 *      1. Hamming distance 2. Edit distance
 * @version 0.0.1

From source file org.ankus.mapreduce.algorithms.correlation.stringset.StringSetReducer.java

/**
 * StringSetReducer
 * @desc
 *      Here's an version of the similarity coefficient and distance calculation.
 *      1. Hamming distance 2. Edit distance
 * @version 0.0.1

From source file org.ankus.mapreduce.algorithms.recommendation.recommender.itemlist.ItemListReducer.java

/**
 * ItemListReducer
 * @desc
 *      User-based Collaborative Filtering recommendation algorithms
 *      Get all the item list for recommendation
 * @version 0.0.1

From source file org.ankus.mapreduce.algorithms.recommendation.recommender.neighborhood.aggregate.Neighborhood1Reducer.java

/**
 * Neighborhood1Reducer
 * @desc
 *      User-based Collaborative Filtering recommendation algorithms
 *      Arrange data set from Movielens type
 *      ---------------------------------------------

From source file org.ankus.mapreduce.algorithms.recommendation.recommender.neighborhood.aggregate.Neighborhood2Reducer.java

/**
 * Neighborhood2Reducer
 * @desc
 *      User-based Collaborative Filtering recommendation algorithms
 *      Arrange data set from Movielens type
 *      ---------------------------------------------

From source file org.ankus.mapreduce.algorithms.recommendation.recommender.neighborhood.userbased.NeighborhoodReducer.java

/**
 * NeighborhoodReducer
 * @desc
 *      Join multi input format files.
 *      User-based Collaborative Filtering recommendation algorithms
 * @version 0.0.1