132 lines
3.8 KiB
Markdown
132 lines
3.8 KiB
Markdown
# clj-ml History
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## v0.4.0 - 2013-08-07
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Supported algorithms:
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* Filters
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* Discretization (supervised, unsupervised, PKI)
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* Nominal to binary (supervised, unsupervised)
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* Numeric to nominal
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* String to word vector
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* Attribute manipulation (reorder, add, remove range, remove percentage, etc.)
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* Resample (supervised, unsupervised)
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* Replace missing values with mean (numeric attributes) or mode (nominal attributes)
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* Classifiers
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* k-Nearest neighbor
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* Decision trees: C4.5/J4.8, Boosted stump, Random forest, Rotation forest, M5P
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* Naive Bayes
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* Multilayer perceptrons
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* Support vector machines (grid-based training), SMO, Spegasos
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* Regression
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* Linear
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* Logistic
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* Pace
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* Additive gradient boosting
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* Clusterers
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* k-Means
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* Cobweb
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* Expectation-maximization
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# Older clj-ml History
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## v0.2.5 - 2013-01-04
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* Upgraaded to clojure 1.4 and lein2.
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## v0.2.4 - 2012-07-09
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* More Maven appeasement....
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## v0.2.3 - 2012-07-06
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* Use new RELEASE version of Incanter now that its available.
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## v0.2.2 - 2012-03-27
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* Maven repo changes.
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## v0.2.1 - 2012-03-26
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* Weight information of an instance is attached as metadata when converting to a map.
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## v0.2.0 - 2012-02-06
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* Upgraded to clojure 1.3.
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## v0.1.5 - 2012-01-23
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* MongoDB support was removed (the original author has never
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communicated with me and I have no intention on maintaining that
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functionality)
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### New Features
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* adds attribute-value-fn helper fn
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### Bug Fixes
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* fixes bug in add-attribute filter, name can now be specified.
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## v0.1.4 - 2011-12-14
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### New Features
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* new filter wrappers: remove-range, remove-percentage
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* new helpers: split-dataset, do-split-dataset, take-dataset,
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randomize-dataset!, randomize-dataset, map-fast-vec
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## v0.1.3 - 2011-10-07
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### New Features
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* added new attribute selection namespace
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## v0.1.2 - 2011-06-14
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### New Features
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* added `dataset-weights` function
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### Bug Fixes
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* Does not create new `ClojureInstances` with `dataset-seq`, just uses weka's built in enumerator.
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## v0.1.1 - 2011-06-14
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### New Features
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* added FastRandomForests which are more space and time efficient that Weka's default implementation.
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### Bug Fixes
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* More typehinting for filter creation.
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## v0.1.0 - 2011-04-11
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### New Features
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* New filter wrappers added: `RemoveUseless` as `:remove-useless`, `Add` as `:add-attribute`
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* New classifier wrappers added: `PaceRegression`, `RandomForest`, M5P Trees and boosted stumps (`LogitBoost`), `AdditiveRegression`, Gradient Boosted Decision Trees, `RotationForest`, `SPegasos`
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* Increased the number of options that can be specified for classifiers.
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* Adds `:clj-streamable` and `:clj-batch` filters which allow for custom
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functions to be provided for filtering the dataset.
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* More idiomatic way and using/applying filters that allows threading.
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* Attribute names can now be specified in the filters and other accessor functions instead of requiring the columns index.
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* 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`
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* Speed improvement in `dataset-as-maps`
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### Bug Fixes
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* `is-dataset?` reports falses correctly now.
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* A large ammount of type hinting was added to many areas where it was slowing down real use-cases.
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* Loading and saving instances functions now work with streams (not just files or file names).
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* `nil` values are allowed in datasets (represented as `NaN`s in weka)
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## v0.0.4 - 2010-10-28
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### New Features
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* Upgraded to Clojure 1.2. (Ben Mabey)
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* Upgraded deps and swithced to modular Incanter dependencies. (Ben Mabey)
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## v0.0.3 - 2010-02-28
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* Initial release by Antonio Garrote.
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