About:
The Cognitive Foundry is a modular Java software library of machine learning components and algorithms designed for research and applications.
Changes:
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General:
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Common:
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Added package for hash function computation including Eva, FNV-1a, MD5, Murmur2, Prime, SHA1, SHA2
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Added callback-based forEach implementations to Vector and InfiniteVector, which can be faster for iterating through some vector types.
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Optimized DenseVector by removing a layer of indirection.
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Added method to compute set of percentiles in UnivariateStatisticsUtil and fixed issue with percentile interpolation.
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Added utility class for enumerating combinations.
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Adjusted ScalarMap implementation hierarchy.
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Added method for copying a map to VectorFactory and moved createVectorCapacity up from SparseVectorFactory.
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Added method for creating square identity matrix to MatrixFactory.
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Added Random implementation that uses a cached set of values.
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Learning:
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Implemented feature hashing.
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Added factory for random forests.
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Implemented uniform distribution over integer values.
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Added Chi-squared similarity.
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Added KL divergence.
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Added general conditional probability distribution.
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Added interfaces for Regression, UnivariateRegression, and MultivariateRegression.
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Fixed null pointer exception that can happen in K-means with an empty cluster.
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Fixed name of maxClusters property on AgglomerativeClusterer (was called maxMinDistance).
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Text:
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Improvements to LDA Gibbs sampler.
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- Operating System:
Agnostic,
Platform Independent
- Data Formats:
Matlab,
Csv,
Xml,
Xstream
- Tags:
Classification,
Clustering,
Adaboost,
Decision Tree Learning,
Algorithms,
Gaussian Mixture Models,
Bagging,
Ensemble Methods,
Gaussian Processes,
Affinity Propagation,
Bfgs,
Generics,
Genetic Algorith
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