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clj-ml History

v0.2.2 - 2012-03-27

Weight information of an instance is attached as metadata when converting to a map.

MongoDB support was removed (the original author has never communicated with me and I have no intention on maintaining that functionality)

new filter wrappers: remove-range, remove-percentage
new helpers: split-dataset, do-split-dataset, take-dataset, randomize-dataset!, randomize-dataset, map-fast-vec

Does not create new ClojureInstances with dataset-seq, just uses weka's built in enumerator.

added FastRandomForests which are more space and time efficient that Weka's default implementation.

New filter wrappers added: RemoveUseless as :remove-useless, Add as :add-attribute
New classifier wrappers added: PaceRegression, RandomForest, M5P Trees and boosted stumps (LogitBoost), AdditiveRegression, Gradient Boosted Decision Trees, RotationForest, SPegasos
Increased the number of options that can be specified for classifiers.
Adds :clj-streamable and :clj-batch filters which allow for custom functions to be provided for filtering the dataset.
More idiomatic way and using/applying filters that allows threading.
Attribute names can now be specified in the filters and other accessor functions instead of requiring the columns index.
New utility functions: into-fast-vec, dataset-replace-attribute, dataset-class-values, dataset-nominal?, make-apply-filters, classifer-copy-and-train, keyword-name, headers-only, dataset-class-name, attribute-labels-as-strings, dataset-name
Speed improvement in dataset-as-maps

is-dataset? reports falses correctly now.
A large ammount of type hinting was added to many areas where it was slowing down real use-cases.
Loading and saving instances functions now work with streams (not just files or file names).
nil values are allowed in datasets (represented as NaNs in weka)

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