NEWS.md
In ianjjohnson/arulesCBA: Classification Based on Association Rules
arulesCBA 1.2.3 (2022-05-24)
- install_LUCS_KDD_CMAR() and install_LUCS_KDD_CPAR(): Added more checks. This fixes timing issues with untar.
arulesCBA 1.2.1 (2021-11-20)
- mineCARs now uses by default minimum LHS-support (via parameter originalSupport = FALSE).
- the CBA_ruleset function is now used consistently as the constructor for CBA objects.
- added transactionCoverage.
- added uncoveredClassExamples.
- added uncoveredMajorityClass.
- added transactions2DF to convert transactions to a data.frame.
- RCAR is now faster (does not run glmnet again for the chosen lambda) and returns the whole regularization path.
- prepareTransactions now automatically add a negative class item if needed.
- moved the experimental algorithms wCBA and bCBA to Work.
- R/Weka-based classifiers have now a default class.
arulesCBA 1.2.0 (2020-04-19)
- Version 1.2.0 has a major interface cleanup. This might require some change in existing code.
- The classifiers now use as the default a min. confidence of .5 and maxlen of 5 (max. rule length).
- CBA now includes a default rule in the rule base.
- added prepareTransactions to discretize and convert a data.frame into transactions.
- added response to convert class items to class labels (factors).
- added majorityClass.
- added FOIL.
- added RIPPER C4.5, and PART (via RWeka).
- added PRM, CPAR and CMAR (via LUCS-KDD Software Library).
- added datasets Mushroom and Lymphography.
arulesCBA 1.1.6 (2020-01-05)
- maintenance release.
arulesCBA 1.1.5 (2019-11-05)
- added RCAR (by Tyler Giallanza).
- The interface for CBA() was updated.
- CBA now complains if no rules are found.
- CBA has now also M1 pruning.
- mineCARs now uses ... to construct the parameters for apriori().
arulesCBA 1.1.4 (2018-12-04)
- discretizeDF.supervised method mdlp now produces a better error message if it fails.
- cleaned up the predict code to improve speed.
- mineCARs has now a balanced support option.
- convenience function classFrequency added.
arulesCBA 1.1.3-1 (2018-04-23)
- added new function discretizeDF.supervised for supervised discretization.
- added new convenience function mineCARs to mine class association rules.
- the formula interface now parsed the right hand side to restrict the used predictors.
ianjjohnson/arulesCBA documentation built on June 13, 2022, 2:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
arulesCBA 1.2.3 (2022-05-24)
- install_LUCS_KDD_CMAR() and install_LUCS_KDD_CPAR(): Added more checks. This fixes timing issues with untar.
arulesCBA 1.2.1 (2021-11-20)
- mineCARs now uses by default minimum LHS-support (via parameter originalSupport = FALSE).
- the CBA_ruleset function is now used consistently as the constructor for CBA objects.
- added transactionCoverage.
- added uncoveredClassExamples.
- added uncoveredMajorityClass.
- added transactions2DF to convert transactions to a data.frame.
- RCAR is now faster (does not run glmnet again for the chosen lambda) and returns the whole regularization path.
- prepareTransactions now automatically add a negative class item if needed.
- moved the experimental algorithms wCBA and bCBA to Work.
- R/Weka-based classifiers have now a default class.
arulesCBA 1.2.0 (2020-04-19)
- Version 1.2.0 has a major interface cleanup. This might require some change in existing code.
- The classifiers now use as the default a min. confidence of .5 and maxlen of 5 (max. rule length).
- CBA now includes a default rule in the rule base.
- added prepareTransactions to discretize and convert a data.frame into transactions.
- added response to convert class items to class labels (factors).
- added majorityClass.
- added FOIL.
- added RIPPER C4.5, and PART (via RWeka).
- added PRM, CPAR and CMAR (via LUCS-KDD Software Library).
- added datasets Mushroom and Lymphography.
arulesCBA 1.1.6 (2020-01-05)
- maintenance release.
arulesCBA 1.1.5 (2019-11-05)
- added RCAR (by Tyler Giallanza).
- The interface for CBA() was updated.
- CBA now complains if no rules are found.
- CBA has now also M1 pruning.
- mineCARs now uses ... to construct the parameters for apriori().
arulesCBA 1.1.4 (2018-12-04)
- discretizeDF.supervised method mdlp now produces a better error message if it fails.
- cleaned up the predict code to improve speed.
- mineCARs has now a balanced support option.
- convenience function classFrequency added.
arulesCBA 1.1.3-1 (2018-04-23)
- added new function discretizeDF.supervised for supervised discretization.
- added new convenience function mineCARs to mine class association rules.
- the formula interface now parsed the right hand side to restrict the used predictors.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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