Release v0.3.6

• Loader.load_file method now checks whether the dataset file really exists, otherwise a previously loaded file gets loaded again without an error message (seems to be a Weka issue)
• replaced org.pentaho.packageManagement with weka.core.packageManagement as the package management code is now part of Weka rather than a third-party library
• jvm.start() no longer tries to load packages and therefore suppresses error message if $HOME/wekafiles/packages should not yet exist

Release v0.3.5

• added support for weka.core.BatchPredictor to class Classifier in module weka.classifiers
• upgraded Weka to revision 12410 (post 3.7.13) to avoid performance bottleneck when using setOptions method
• fixed class SetupGenerator from module weka.core.classes
• added load_any_file method to the weka.core.converters module
• added save_any_file method to the weka.core.converters module
• if GridSearch instantiation (module weka.classifiers) fails, it now outputs message whether package
  installed and JVM with package support started

Release v0.3.4

• added convenience method create_instances_from_lists to weka.core.dataset module to easily create
  an Instances object from numeric lists (x and y)
• added get_object_tags method to Tags class from module weka.core.classes, to allow obtaining
  weka.core.Tag array from the method of a JavaObject rather than a static field (MultiSearch)
• updated MultiSearch wrapper in module weka.classifiers to work with the multi-search package
  version 2016.1.15 or later

Release v0.3.3

• updated to Weka 3.7.13
• documentation now covers the API as well

Release v0.3.2

• The packages parameter of the weka.core.jvm.start() function can be used for specifying an alternative
  Weka home directory now as well
• added train_test_split method to weka.core.Instances class to easily create train/test splits
• evaluate_train_test_split method of weka.classifiers.Evaluation class now uses the train_test_split method

Release v0.3.1

• added get_tags class method to Tags method for easier instantiation of Tag arrays
• added find method to Tags class to locate Tag object that matches the string
• fixed __getitem__ and __setitem__ methods of the Tags class
• added GridSearch meta-classifier with convenience properties to module weka.classifiers
• added SetupGenerator and various parameter classes to weka.core.classes
• added MultiSearch meta-classifier with convenience properties to module weka.classifiers
• added quote/unquote and backquote/unbackquote methods to weka.core.classes module
• added main method to weka.core.classes for operations on options: join, split, code
• added support for option handling to weka.core.classes module

Release v0.3.0

• added method ndarray_to_instances to weka.converters module for converting Numpy 2-dimensional array into Instances object
• added method plot_learning_curve to weka.plot.classifiers module for creating learning curves for multiple classifiers for a specific metric
• added plotting of experiments with plot_experiment methid in weka.plot.experiments module
• Instance.create_instance method now takes list of tuples (index, internal float value) when generating sparse instances
• added weka.core.database module for loading data from a database
• added make_copy class method to Clusterer class
• added make_copy class method to Associator class
• added make_copy class method to Filter class
• added make_copy class method to DataGenerator class
• most classes (like Classifier and Filter) now have a default classname value in the constructor
• added TextDirectoryLoader class to weka.core.converters
• moved all methods from weka.core.utils to weka.core.classes
• fixed Attribute.index_of method for determining label index
• fixed Attribute.add_string_value method (used incorrect JNI parameter)
• create_instance and create_sparse_instance methods of class Instance now ensure that list values are float
• added to_help method to OptionHandler class which outputs a help string generated from the base class's
  globalInfo and listOptions methods
• fixed test_model method of Evaluation class when supplying a PredictionOutput object (previously generated No dataset structure provided! exception)
• added batch_finished method to Filter class for incremental filtering
• added line_plot method to weka.plot.dataset module for plotting dataset using internal format (one line plot per instance)
• added is_serializable property to JavaObject class
• added has_class convenience property to Instance class
• added __repr__ method to JavaObject classes (simply calls toString() method)
• added Stemmer class in module weka.core.stemmers
• added Stopwords class in module weka.core.stopwords
• added Tokenizer class in module weka.core.tokenizers
• added StringToWordVector filter class in module weka.filters
• added simple workflow engine (see documentation on Flow)

Release v0.2.2

• added convenience methods no_class (to unset class) and has_class (class set?) to Instances class
• switched to using faster method objects for methods classify_instance/distribution_for_instance in Classifier class
• switched to using faster method objects for methods cluster_instance/distribution_for_instance in Clusterer class
• switched to using faster method objects for methods class_index, is_missing, get/set_value, get/set_string_value, weight in Instance class
• switched to using faster method objects for methods input, output, outputformat in Filter class
• switched to using faster method objects for methods attribute, attribute_by_name, num_attributes, num_instances, class_index, class_attribute, set_instance, get_instance, add_instance in Instances class

Release v0.2.1

• added unit testing framework
• added method refresh_cache() to weka/core/packages.py to allow user to refresh local cache
• method get_classname in weka.core.utils now handles Python objects and class objects as well
• added convenience method get_jclass to weka.core.utils to instantiate a Java class
• added a JavaArray wrapper for `arrays, which allows getting/setting elements and iterating
• added property classname to class JavaObject for easy access to classname of underlying object
• added class method parse_matlab for parsing Matlab matrix strings to CostMatrix class
• predictions method of Evaluation class now return None if predictions are discarded
• Associator.get_capabilities() method is now a property: Associator.capabilities
• added wrapper classes for Java enums: weka.core.classes.Enum
• fixed retrieval of sumSq in Stats class (used by AttributeStats)
• fixed cluster_instance method in Clusterer class
• fixed filter and clusterer properties in clusterer classes (SingleClustererEnhancer, FilteredClusterer)
• added crossvalidate_model method to ClusterEvaluation
• added get_prc method to plot/classifiers.py for calculating the area under the precision-recall curve
• Filter.filter method now handles list of Instances objects as well, applying the filter sequentially to all the datasets (allows generation of compatible train/test sets)

Release 0.2.0

NB: This release is not backwards compatible!

• requires JavaBridge 1.0.9 at least
• moved from Java-like get/set (getIndex() and setIndex(int)) to nicer Python properties
• using Python properties (also only read-only ones) wherevere possible
• added weka.core.version for accessing the Weka version currently in use
• added jwrapper and jclasswrapper methods to JavaObject class (the mother of all objects in python-weka-wrapper)
  to allow generic access to an object's methods: http://pythonhosted.org//javabridge/highlevel.html#wrapping-java-objects-using-reflection
• added convenience methods class_is_last() and class_is_first() to weka.core.Instances class
• added convenience methods delete_last_attribute() and delete_first_attribute() to weka.core.Instances class