python-weka-wrapper3

Python 3 wrapper for Weka using JPype.

GPL-3.0 License

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Ecosystems: Java, Python

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python-weka-wrapper3 - Release v0.1.15

Published by fracpete almost 4 years ago

  • 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 to better handle associator output
python-weka-wrapper3 - Release v0.1.14

Published by fracpete over 4 years ago

  • added AttributeSelectedClassifier meta-classifier to module weka.classifiers
  • added AttributeSelection meta-filter to module weka.filters
python-weka-wrapper3 - Release v0.1.13

Published by fracpete over 4 years ago

  • 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.
python-weka-wrapper3 - Release v0.1.12

Published by fracpete almost 5 years ago

  • 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.
python-weka-wrapper3 - Release v0.1.11

Published by fracpete almost 5 years ago

  • 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
python-weka-wrapper3 - Release v0.1.10

Published by fracpete almost 5 years ago

  • train_test_split method of Instances class now creates copy of itself before applying randomization to avoid order of data to change in subsequent calls
python-weka-wrapper3 - Release v0.1.9

Published by fracpete almost 5 years ago

  • 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
python-weka-wrapper3 - Release v0.1.8

Published by fracpete almost 5 years ago

  • 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
python-weka-wrapper3 - Release v0.1.7

Published by fracpete almost 6 years ago

  • 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)
python-weka-wrapper3 - Release v0.1.6

Published by fracpete almost 6 years ago

  • fixed logging setup in weka.core.jvm to avoid global setting global logging
    setup to DEBUG (thanks to https://github.com/Arnie97)
python-weka-wrapper3 - Release v0.1.5

Published by fracpete about 6 years ago

  • 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
python-weka-wrapper3 - Release v0.1.4

Published by fracpete over 6 years ago

  • 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
python-weka-wrapper3 - Release v0.1.3

Published by fracpete about 7 years ago

  • 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 (https://github.com/fracpete/python-weka-wrapper3/issues/5)
python-weka-wrapper3 - Release v0.1.2

Published by fracpete almost 8 years ago

  • typeconv.double_matrix_to_ndarray no longer assumes a square matrix
    (https://github.com/fracpete/python-weka-wrapper3/issues/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
python-weka-wrapper3 - Release v0.1.1

Published by fracpete about 8 years ago

  • 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)
python-weka-wrapper3 - Release v0.1.0

Published by fracpete over 8 years ago

  • first release of Python3 port
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