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Changelog

0.2.1 (????-??-??)

  • the ASEvaluation class in the weka.attribute_selection module now offers the following methods for attribute transformers like PCA: transformed_header, transformed_data, convert_instance
  • ...

0.2.0 (2021-02-21)

  • classes.new_instance method can take an options list now as well
  • added classes.get_enum method to return the instance of a Java enum item
  • added classes.new_instance method to create new instance of Java class
  • added typeconv.jstring_list_to_string_list method to convert a java.util.List containing strings into a Python list
  • added typeconv.jdouble_to_float method to convert a java.lang.Double to a Python float
  • in module typeconv renamed methods: string_array_to_list to jstring_array_to_list, string_list_to_array to string_list_to_jarray, double_matrix_to_ndarray to jdouble_matrix_to_ndarray, enumeration_to_list to jenumeration_to_list, double_to_float to float_to_jfloat
  • added weka.timeseries module that wraps the timeseriesForecasting Weka package

0.1.16 (2020-12-26)

  • upgraded Weka to 3.9.5

0.1.15 (2020-10-25)

  • added weka.core.systeminfo module for obtaining output from weka.core.SystemInfo
  • added system_info parameter to weka.core.jvm.start() method
  • merged PR #33 (fracpete#33) to better handle associator output

0.1.14 (2020-05-26)

  • added AttributeSelectedClassifier meta-classifier to module weka.classifiers
  • added AttributeSelection meta-filter to module weka.filters

0.1.13 (2020-05-06)

  • added class_index parameter to weka.core.converters.load_any_file and weka.core.converters.Loader.load_file, which allows specifying of index while loading it (first, second, third, last-2, last-1, last or 1-based index).
  • added append and clear methods to weka.filters.MultiFilter and weka.classifiers.MultipleClassifiersCombiner to make adding of filters/classifiers easier.
  • added attribute_names() method to weka.core.dataset.Instances class
  • added subset method to weka.core.dataset.Instances class, which returns a subset of columns and/or rows.

0.1.12 (2020-01-10)

  • added method list_property_names to weka.core.classes module to allow listing of Bean property names (which are used by GridSearch and MultiSearch) for a Java object.

0.1.11 (2020-01-04)

  • Upgraded Weka to 3.9.4
  • added method suggest_package to the weka.core.packages module for suggesting packages for partial class names/package names (NNge or .ft.) or exact class names (weka.classifiers.meta.StackingC)
  • the JavaObject.new_instance method now suggests packages (if possible) in case the instantiation fails due to package not installed or JVM not started with package support

0.1.10 (2019-12-02)

  • method train_test_split of the weka.dataset.Instances class now creates a copy of itself before applying randomization, to avoid changing the order of data for subsequent calls.

0.1.9 (2019-11-19)

  • method create_instances_from_matrices from module weka.core.dataset now works with pure numeric data again
  • added sections for creating datasets (manual, lists, matrices) to examples documentation

0.1.8 (2019-11-11)

  • added console scripts: pww-associator, pww-attsel, pww-classifier, pww-clusterer, pww-datagenerator, pww-filter
  • added serialize, deserialize methods to weka.classifiers.Classifier to simplify loading/saving model
  • added serialize, deserialize methods to weka.clusterers.Clusterer to simplify loading/saving model
  • added serialize, deserialize methods to weka.filters.Filter to simplify loading/saving filter
  • added methods plot_rocs and plot_prcs to weka.plot.classifiers module to plot ROC/PRC curve on same dataset for multiple classifiers
  • method plot_classifier_errors of weka.plot.classifiers module now allows plotting predictions of multiple classifiers by providing a dictionary
  • method create_instances_from_matrices from module weka.core.dataset now allows string and bytes as well
  • method create_instances_from_lists from module weka.core.dataset now allows string and bytes as well

0.1.7 (2019-01-11)

  • added wrapper classes for association classes that implement AssociationRuleProducer (package weka.associations): AssociationRules, AssociationRule, item
  • added to_source method to weka.classifiers.Classifier and weka.filters.Filter (underlying Java classes must implement the respective Sourcable interface)

0.1.6 (2018-10-28)

0.1.5 (2018-09-16)

  • upgraded to Weka 3.9.3
  • weka.jar now included in PyPi package
  • exposed the following methods in weka.classifiers.Evaluation: cumulative_margin_distribution, sf_prior_entropy, sf_scheme_entropy

0.1.4 (2018-02-18)

  • upgraded to Weka 3.9.2
  • properly initializing package support now, rather than adding package jars to classpath
  • added weka.core.ClassHelper Java class for obtaining classes and static fields, as javabridge only uses the system class loader

0.1.3 (2017-08-23)

  • added check_for_modified_class_attribute method to FilterClassifier class
  • added complete_classname method to weka.core.classes module, which allows completion of partial classnames like .J48 to weka.classifiers.trees.J48 if there is a unique match; JavaObject.new_instance and JavaObject.check_type now make use of this functionality, allowing for instantiations like Classifier(cls=".J48")
  • jvm.start(system_cp=True) no longer fails with a KeyError: 'CLASSPATH' if there is no CLASSPATH environment variable defined
  • Libraries mtl.jar, core.jar and arpack_combined_all.jar were added as is to the weka.jar in the 3.9.1 release instead of adding their content to it. Repackaged weka.jar to fix this issue (fracpete#5)

0.1.2 (2017-01-04)

  • typeconv.double_matrix_to_ndarray no longer assumes a square matrix (fracpete#4)
  • len(Instances) now returns the number of rows in the dataset (module weka.core.dataset)
  • added method insert_attribute to the Instances class
  • added class method create_relational to the Attribute class
  • upgraded Weka to 3.9.1

0.1.1 (2016-10-19)

  • plot_learning_curve method of module weka.plot.classifiers now accepts a list of test sets; * is index of test set in label template string
  • added missing_value() methods to weka.core.dataset module and Instance class
  • output variable y for convenience method create_instances_from_lists in module weka.core.dataset is now optional
  • added convenience method create_instances_from_matrices to weka.core.dataset module to easily create an Instances object from numpy matrices (x and y)

0.1.0 (2016-05-09)

  • initial release of Python3 port