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Release v0.3.0
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@fracpete fracpete released this 15 Apr 10:33
· 198 commits to master since this release
v0.3.0
c068a7c
  • 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)
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