Release v0.1.0

• requiring python-weka-wrapper3 >= 0.3.0 now (jpype-based)

Release v0.0.8

• using scikit-learn instead of deprecated sklearn dependency for scikit-learn (#10)

Release v0.0.7

• WekaEstimator (module sklweka.classifiers) now has a custom score method that distinguishes between classification and regression to return the correct score.
• renamed data to X and targets to y, since some sklearn schemes use named arguments
• added dummy argument sample_weight=None to fit, score and fit_predict methods
• fixed: when supplying Classifier or JBObject instead of classname/options, classname/options now get determined automatically
• method to_instance (module: sklweka.dataset) now performs correct missing value check
• method to_nominal_labels (module: sklweka.dataset) generates nicer labels now

Release v0.0.6

• WekaEstimator (module sklweka.classifiers) and WekaCluster (module sklweka.clusters) now allow specifying how many labels a particular nominal attribute or class attribute has (to avoid error message like Cannot handle unary class attribute! if there is only one label present in a particular split)

Release v0.0.5

• the to_nominal_attributes method in the sklearn.dataset module requires now the indices parameter (incorrectly declared as optional); can parse a range string now as well
• fixed the fit, set_params and __str__ methods fo the MakeNominal transformer (module sklweka.preprocessing)
• WekaEstimator (module sklweka.classifiers) and WekaCluster (module sklweka.clusters) now allow specifying which attributes to turn into nominal ones, which avoids having to manually convert the data (either as list with 0-based indices or range string with 1-based indices)
• set_params methods now ignore empty dictionaries

Release v0.0.4

• fixed sorting of labels in to_instances method in module sklweka.dataset
• redoing X when no class present in load_arff method (module sklweka.dataset)
• added load_dataset method in module sklweka.dataset that uses Weka to load the data before converting it into sklearn data structures (slower, but more flexible)

Release v0.0.3

• added support for generating data via Weka's data generators

Release v0.0.2

• requiring python-weka-wrapper3 version 0.2.1 at least in order to offer pickle support

Release v0.0.1

• initial release