| org.apache.mahout |
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| org.apache.mahout.benchmark |
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| org.apache.mahout.cf.taste.common |
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| org.apache.mahout.cf.taste.eval |
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| org.apache.mahout.cf.taste.example |
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| org.apache.mahout.cf.taste.example.bookcrossing |
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| org.apache.mahout.cf.taste.example.email |
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| org.apache.mahout.cf.taste.example.kddcup |
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| org.apache.mahout.cf.taste.example.kddcup.track1 |
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| org.apache.mahout.cf.taste.example.kddcup.track1.svd |
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| org.apache.mahout.cf.taste.example.kddcup.track2 |
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| org.apache.mahout.cf.taste.hadoop |
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| org.apache.mahout.cf.taste.hadoop.als |
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| org.apache.mahout.cf.taste.hadoop.example.als.netflix |
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| org.apache.mahout.cf.taste.hadoop.item |
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| org.apache.mahout.cf.taste.hadoop.preparation |
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| org.apache.mahout.cf.taste.hadoop.similarity.item |
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| org.apache.mahout.cf.taste.impl.common |
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| org.apache.mahout.cf.taste.impl.common.jdbc |
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| org.apache.mahout.cf.taste.impl.eval |
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| org.apache.mahout.cf.taste.impl.model |
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| org.apache.mahout.cf.taste.impl.model.cassandra |
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| org.apache.mahout.cf.taste.impl.model.file |
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| org.apache.mahout.cf.taste.impl.model.hbase |
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| org.apache.mahout.cf.taste.impl.model.jdbc |
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| org.apache.mahout.cf.taste.impl.model.mongodb |
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| org.apache.mahout.cf.taste.impl.neighborhood |
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| org.apache.mahout.cf.taste.impl.recommender |
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| org.apache.mahout.cf.taste.impl.recommender.svd |
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| org.apache.mahout.cf.taste.impl.similarity |
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| org.apache.mahout.cf.taste.impl.similarity.file |
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| org.apache.mahout.cf.taste.impl.similarity.jdbc |
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| org.apache.mahout.cf.taste.impl.similarity.precompute |
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| org.apache.mahout.cf.taste.model |
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| org.apache.mahout.cf.taste.neighborhood |
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| org.apache.mahout.cf.taste.recommender |
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| org.apache.mahout.cf.taste.similarity |
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| org.apache.mahout.cf.taste.similarity.precompute |
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| org.apache.mahout.cf.taste.similarity.precompute.example |
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| org.apache.mahout.cf.taste.web |
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| org.apache.mahout.classifier |
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| org.apache.mahout.classifier.df |
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| org.apache.mahout.classifier.df.builder |
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| org.apache.mahout.classifier.df.data |
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| org.apache.mahout.classifier.df.data.conditions |
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| org.apache.mahout.classifier.df.mapreduce |
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| org.apache.mahout.classifier.df.mapreduce.inmem |
In-memory mapreduce implementation of Random Decision Forests
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| org.apache.mahout.classifier.df.mapreduce.partial |
Partial-data mapreduce implementation of Random Decision Forests
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| org.apache.mahout.classifier.df.node |
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| org.apache.mahout.classifier.df.ref |
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| org.apache.mahout.classifier.df.split |
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| org.apache.mahout.classifier.df.tools |
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| org.apache.mahout.classifier.email |
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| org.apache.mahout.classifier.evaluation |
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| org.apache.mahout.classifier.naivebayes |
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| org.apache.mahout.classifier.naivebayes.test |
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| org.apache.mahout.classifier.naivebayes.training |
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| org.apache.mahout.classifier.sequencelearning.hmm |
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| org.apache.mahout.classifier.sgd |
Implements a variety of on-line logistric regression classifiers using SGD-based algorithms.
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| org.apache.mahout.classifier.sgd.bankmarketing |
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| org.apache.mahout.clustering |
| org.apache.mahout.clustering.canopy |
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| org.apache.mahout.clustering.cdbw |
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| org.apache.mahout.clustering.classify |
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| org.apache.mahout.clustering.conversion |
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| org.apache.mahout.clustering.display |
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| org.apache.mahout.clustering.evaluation |
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| org.apache.mahout.clustering.fuzzykmeans |
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| org.apache.mahout.clustering.iterator |
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| org.apache.mahout.clustering.kernel |
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| org.apache.mahout.clustering.kmeans |
This package provides an implementation of the k-means clustering
algorithm. |
| org.apache.mahout.clustering.lda |
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| org.apache.mahout.clustering.lda.cvb |
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| org.apache.mahout.clustering.spectral |
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| org.apache.mahout.clustering.spectral.kmeans |
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| org.apache.mahout.clustering.streaming.cluster |
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| org.apache.mahout.clustering.streaming.mapreduce |
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| org.apache.mahout.clustering.streaming.tools |
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| org.apache.mahout.clustering.syntheticcontrol.canopy |
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| org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans |
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| org.apache.mahout.clustering.syntheticcontrol.kmeans |
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| org.apache.mahout.clustering.topdown |
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| org.apache.mahout.clustering.topdown.postprocessor |
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| org.apache.mahout.collections |
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| org.apache.mahout.common |
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| org.apache.mahout.common.commandline |
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| org.apache.mahout.common.distance |
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| org.apache.mahout.common.iterator |
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| org.apache.mahout.common.iterator.sequencefile |
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| org.apache.mahout.common.lucene |
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| org.apache.mahout.common.mapreduce |
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| org.apache.mahout.common.nlp |
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| org.apache.mahout.common.parameters |
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| org.apache.mahout.driver |
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| org.apache.mahout.ep |
Provides basic evolutionary optimization using recorded-step
mutation. |
| org.apache.mahout.fpm.pfpgrowth |
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| org.apache.mahout.fpm.pfpgrowth.dataset |
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| org.apache.mahout.h2obindings |
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| org.apache.mahout.h2obindings.drm |
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| org.apache.mahout.h2obindings.ops |
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| org.apache.mahout.math |
Core base classes; Operations on primitive arrays such as sorting, partitioning and permuting.
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| org.apache.mahout.math.als |
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| org.apache.mahout.math.buffer |
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| org.apache.mahout.math.decomposer |
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| org.apache.mahout.math.decomposer.hebbian |
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| org.apache.mahout.math.decomposer.lanczos |
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| org.apache.mahout.math.flavor |
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| org.apache.mahout.math.function |
Core interfaces for functions, comparisons and procedures on objects and primitive data types.
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| org.apache.mahout.math.hadoop |
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| org.apache.mahout.math.hadoop.decomposer |
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| org.apache.mahout.math.hadoop.similarity |
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| org.apache.mahout.math.hadoop.similarity.cooccurrence |
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| org.apache.mahout.math.hadoop.similarity.cooccurrence.measures |
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| org.apache.mahout.math.hadoop.solver |
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| org.apache.mahout.math.hadoop.stats |
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| org.apache.mahout.math.hadoop.stochasticsvd |
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| org.apache.mahout.math.hadoop.stochasticsvd.qr |
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| org.apache.mahout.math.jet.math |
Tools for basic and advanced mathematics: Arithmetics and Algebra, Polynomials and Chebyshev series, Bessel and Airy
functions, Function Objects for generic function evaluation, etc.
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| org.apache.mahout.math.jet.random |
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| org.apache.mahout.math.jet.random.engine |
Engines generating strong uniformly distributed pseudo-random numbers;
Needed by all JET probability distributions since they rely on uniform random numbers to generate random
numbers from their own distribution.
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| org.apache.mahout.math.jet.random.sampling |
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| org.apache.mahout.math.jet.stat |
Tools for basic and advanced statistics: Estimators, Gamma functions, Beta functions, Probabilities,
Special integrals, etc.
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| org.apache.mahout.math.list |
Resizable lists holding objects or primitive data types such as int,
double, etc.
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| org.apache.mahout.math.map |
Automatically growing and shrinking maps holding objects or primitive
data types such as int, double, etc.
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| org.apache.mahout.math.neighborhood |
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| org.apache.mahout.math.random |
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| org.apache.mahout.math.set |
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| org.apache.mahout.math.solver |
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| org.apache.mahout.math.ssvd |
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| org.apache.mahout.math.stats |
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| org.apache.mahout.text |
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| org.apache.mahout.text.wikipedia |
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| org.apache.mahout.utils |
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| org.apache.mahout.utils.clustering |
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| org.apache.mahout.utils.email |
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| org.apache.mahout.utils.io |
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| org.apache.mahout.utils.nlp.collocations.llr |
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| org.apache.mahout.utils.regex |
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| org.apache.mahout.utils.vectors |
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| org.apache.mahout.utils.vectors.arff |
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| org.apache.mahout.utils.vectors.csv |
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| org.apache.mahout.utils.vectors.io |
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| org.apache.mahout.utils.vectors.lucene |
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| org.apache.mahout.vectorizer |
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| org.apache.mahout.vectorizer.collocations.llr |
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| org.apache.mahout.vectorizer.common |
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| org.apache.mahout.vectorizer.document |
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| org.apache.mahout.vectorizer.encoders |
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| org.apache.mahout.vectorizer.pruner |
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| org.apache.mahout.vectorizer.term |
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| org.apache.mahout.vectorizer.tfidf |
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