Python-weka-wrapper3

-------------------

- 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.

-------------------

- 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

-------------------

- 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.

------------------

- 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

------------------

- 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

------------------

- 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)